Minimum free distance of CCSDS turbo encoders under (Truncated) Möbius interleavers. - Seyyedali Hosseinalipour; Amin Sakzad; Mohammad-Reza Sadeghi 001 (IWCIT, 2015)

Real-Time Strategy Selection for Mobile Advertising in VANETs. - Seyyedali Hosseinalipour; Anuj K. Nayak; Huaiyu Dai (GLOBECOM, 2017)

Detection of Infections Using Graph Signal Processing in Heterogeneous Networks. - Seyyedali Hosseinalipour; Jie Wang 016; Huaiyu Dai; Wenye Wang (GLOBECOM, 2017)

Dynamic Advertising in VANETs Using Repeated Auctions. - Anuj K. Nayak; Seyyedali Hosseinalipour; Huaiyu Dai (GLOBECOM, 2017)

Options-based sequential auctions for dynamic cloud resource allocation. - Seyyedali Hosseinalipour; Huaiyu Dai (ICC, 2017)

Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures. - Srinjoy Chattopadhyay; Huaiyu Dai; Do Young Eun; Seyyedali Hosseinalipour (IEEE Trans. Commun., 2017)

Allocation of Graph Jobs in Geo-Distributed Cloud Networks. - Seyyedali Hosseinalipour; Anuj K. Nayak; Huaiyu Dai (CoRR, 2018)

Performance of Möbius Interleavers for Turbo Codes. - Seyyedali Hosseinalipour; Amin Sakzad; Mohammad-Reza (Rafsanjani) Sadeghi (Wirel. Pers. Commun., 2018)

Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation. - Ali Rahmati; Seyyedali Hosseinalipour; Yavuz Yapici; Xiaofan He; Ismail Güvenç; Huaiyu Dai; Arupjyoti Bhuyan (GLOBECOM, 2019)

Interference Avoidance Position Planning in UAV-Assisted Wireless Communication. - Seyyedali Hosseinalipour; Ali Rahmati; Huaiyu Dai (ICC, 2019)

Optimal Time Allocation in VANETs Advertising: A Price-Based Approach using Stacklberg Game. - Ali Rahmati; Seyyedali Hosseinalipour; Huaiyu Dai (ICC, 2019)

Smart Information Spreading for Opinion Maximization in Social Networks. - Anuj K. Nayak; Seyyedali Hosseinalipour; Huaiyu Dai (INFOCOM, 2019)

Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds. - Minghui LiWang; Seyyedali Hosseinalipour; Zhibin Gao; Yuliang Tang; Lianfen Huang; Huaiyu Dai (CoRR, 2019)

Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game. - Ali Rahmati; Seyyedali Hosseinalipour; Huaiyu Dai (CoRR, 2019)

Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks. - Ali Rahmati; Seyyedali Hosseinalipour; Yavuz Yapici; Ismail Güvenç; Huaiyu Dai; Arupjyoti Bhuyan (GLOBECOM, 2020)

Optimal Jammer Placement in UAV-assisted Relay Networks. - Seyyedali Hosseinalipour; Ali Rahmati; Huaiyu Dai (ICC, 2020)

Multi-Task Offloading over Vehicular Clouds under Graph-based Representation. - Minghui LiWang; Zhibin Gao; Seyyedali Hosseinalipour; Huaiyu Dai (ICC, 2020)

Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. - Minghui LiWang; Zhibin Gao; Seyyedali Hosseinalipour; Huaiyu Dai; Xianbin Wang 001 (INFOCOM Workshops, 2020)

Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. - Ali Rahmati; Seyyedali Hosseinalipour; Ismail Güvenç; Huaiyu Dai; Arupjyoti Bhuyan (SPAWC, 2020)

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. - Seyyedali Hosseinalipour; Christopher G. Brinton; Vaneet Aggarwal; Huaiyu Dai; Mung Chiang (IEEE Commun. Mag., 2020)

From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. - Seyyedali Hosseinalipour; Christopher G. Brinton; Vaneet Aggarwal; Huaiyu Dai; Mung Chiang (CoRR, 2020)

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. - Seyyedali Hosseinalipour; Sheikh Shams Azam; Christopher G. Brinton; Nicolò Michelusi; Vaneet Aggarwal; David J. Love; Huaiyu Dai (CoRR, 2020)

Towards Generalized and Distributed Privacy-Preserving Representation Learning. - Sheikh Shams Azam; Taejin Kim; Seyyedali Hosseinalipour; Christopher G. Brinton; Carlee Joe-Wong; Saurabh Bagchi (CoRR, 2020)

Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications. - Junghoon Kim; Seyyedali Hosseinalipour; Taejoon Kim; David J. Love; Christopher G. Brinton (CoRR, 2020)

Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV. - Minghui LiWang; Seyyedali Hosseinalipour; Zhibin Gao; Yuliang Tang; Lianfen Huang; Huaiyu Dai (IEEE Internet Things J., 2020)

Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. - Seyyedali Hosseinalipour; Jiayu Mao; Do Young Eun; Huaiyu Dai (IEEE Trans. Netw. Sci. Eng., 2020)

Infection Analysis on Irregular Networks Through Graph Signal Processing. - Seyyedali Hosseinalipour; Jie Wang 016; Yuanzhe Tian; Huaiyu Dai (IEEE Trans. Netw. Sci. Eng., 2020)

Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks. - Seyyedali Hosseinalipour; Anuj K. Nayak; Huaiyu Dai (IEEE Trans. Parallel Distributed Syst., 2020)

Interference Avoidance Position Planning in Dual-Hop and Multi-Hop UAV Relay Networks. - Seyyedali Hosseinalipour; Ali Rahmati; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2020)

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. - Frank Po-Chen Lin; Seyyedali Hosseinalipour; Sheikh Shams Azam; Christopher G. Brinton; Nicolò Michelusi (GLOBECOM, 2021)

Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach. - Junghoon Kim; Seyyedali Hosseinalipour; Taejoon Kim; David J. Love; Christopher G. Brinton (ICC Workshops, 2021)

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. - Myeung Suk Oh; Seyyedali Hosseinalipour; Taejoon Kim; Christopher G. Brinton; David J. Love (ICC, 2021)

Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks. - Yuhan Su; Minghui LiWang; Seyyedali Hosseinalipour; Lianfen Huang; Huaiyu Dai (ICC, 2021)

Cooperative Relaying and Power Control for UAV-Assisted Vehicular Networks with Deep Q-Network. - Yuhan Su; Minghui Liwang; Seyyedali Hosseinalipour; Lianfen Huang; Huaiyu Dai (ICCC, 2021)

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. - Su Wang 007; Mengyuan Lee; Seyyedali Hosseinalipour; Roberto Morabito; Mung Chiang; Christopher G. Brinton (INFOCOM, 2021)

Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations. - Frank Po-Chen Lin; Seyyedali Hosseinalipour; Sheikh Shams Azam; Christopher G. Brinton; Nicolò Michelusi (CoRR, 2021)

Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. - Frank Po-Chen Lin; Seyyedali Hosseinalipour; Sheikh Shams Azam; Christopher G. Brinton; Nicolò Michelusi (IEEE J. Sel. Areas Commun., 2021)

Fast-Convergent Federated Learning. - Hung T. Nguyen 003; Vikash Sehwag; Seyyedali Hosseinalipour; Christopher G. Brinton; Mung Chiang; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2021)

A Two-Stage Auction Mechanism for Cloud Resource Allocation. - Seyyedali Hosseinalipour; Huaiyu Dai (IEEE Trans. Cloud Comput., 2021)

Energy-Aware Stochastic UAV-Assisted Surveillance. - Seyyedali Hosseinalipour; Ali Rahmati; Do Young Eun; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2021)

Can we Generalize and Distribute Private Representation Learning? - Sheikh Shams Azam; Taejin Kim; Seyyedali Hosseinalipour; Carlee Joe-Wong; Saurabh Bagchi; Christopher G. Brinton (AISTATS, 2022)

Linear Coding for Gaussian Two-Way Channels. - Junghoon Kim; Seyyedali Hosseinalipour; Taejoon Kim; David J. Love; Christopher G. Brinton (Allerton, 2022)

Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. - Shahryar Zehtabi; Seyyedali Hosseinalipour; Christopher G. Brinton (CDC, 2022)

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. - Yun-Wei Chu; Seyyedali Hosseinalipour; Elizabeth Tenorio; Laura M. Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (CIKM, 2022)

Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Mung Chiang; Christopher G. Brinton (GLOBECOM, 2022)

Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. - Junghoon Kim; Seyyedali Hosseinalipour; Andrew C. Marcum; Taejoon Kim; David J. Love; Christopher G. Brinton (ICC, 2022)

Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. - David Nickel; Frank Po-Chen Lin; Seyyedali Hosseinalipour; Nicolò Michelusi; Christopher G. Brinton (ICC Workshops, 2022)

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? - Sheikh Shams Azam; Seyyedali Hosseinalipour; Qiang Qiu; Christopher G. Brinton (ICLR, 2022)

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing. - Minghui Liwang; Zhibin Gao; Seyyedali Hosseinalipour; Zhipeng Cheng; Xianbin Wang 001 (CoRR, 2022)

Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets. - Minghui Liwang; Seyyedali Hosseinalipour; Zhibin Gao; Zhipeng Cheng; Yuhan Su; Xianbin Wang 001 (CoRR, 2022)

Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices. - Shahryar Zehtabi; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2022)

Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. - Dinh C. Nguyen; Seyyedali Hosseinalipour; David J. Love; Pubudu N. Pathirana; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2022)

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. - Mengyuan Lee; Seyyedali Hosseinalipour; Christopher G. Brinton; Guanding Yu; Huaiyu Dai (IEEE Trans. Cloud Comput., 2022)

A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks. - Zhibin Gao; Minghui Liwang; Seyyedali Hosseinalipour; Huaiyu Dai; Xianbin Wang 001 (IEEE Trans. Mob. Comput., 2022)

Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. - Seyyedali Hosseinalipour; Sheikh Shams Azam; Christopher G. Brinton; Nicolò Michelusi; Vaneet Aggarwal; David J. Love; Huaiyu Dai (IEEE/ACM Trans. Netw., 2022)

Learning-Based Adaptive IRS Control With Limited Feedback Codebooks. - Junghoon Kim; Seyyedali Hosseinalipour; Andrew C. Marcum; Taejoon Kim; David J. Love; Christopher G. Brinton (IEEE Trans. Wirel. Commun., 2022)

Dynamic Interference Management for UAV-Assisted Wireless Networks. - Ali Rahmati; Seyyedali Hosseinalipour; Yavuz Yapici; Xiaofan He; Ismail Güvenç; Huaiyu Dai; Arupjyoti Bhuyan (IEEE Trans. Wirel. Commun., 2022)

Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. - Rohit Parasnis; Seyyedali Hosseinalipour; Yun-Wei Chu; Mung Chiang; Christopher G. Brinton (MobiHoc, 2023)

Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. - Su Wang 007; Seyyedali Hosseinalipour; Vaneet Aggarwal; Christopher G. Brinton; David J. Love; Weifeng Su; Mung Chiang (CoRR, 2023)

Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services. - Payam Abdisarabshali; Nicholas Accurso; Filippo Malandra; Weifeng Su; Seyyedali Hosseinalipour (CoRR, 2023)

Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. - Zhan-Lun Chang; Seyyedali Hosseinalipour; Mung Chiang; Christopher G. Brinton (CoRR, 2023)

DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud. - Minghui Liwang; Bingshuo Guo; Zhanxi Ma; Yuhan Su; Seyyedali Hosseinalipour; Xianbin Wang 001; Huaiyu Dai (CoRR, 2023)

Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks. - Minghui Liwang; Zhibin Gao; Seyyedali Hosseinalipour; Yuhan Su; Xianbin Wang 001; Huaiyu Dai (IEEE Trans. Serv. Comput., 2023)

UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. - Su Wang 007; Seyyedali Hosseinalipour; Maria Gorlatova; Christopher G. Brinton; Mung Chiang (IEEE Trans. Netw. Serv. Manag., 2023)

RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds. - Zhang Liu; Minghui Liwang; Seyyedali Hosseinalipour; Huaiyu Dai; Zhibin Gao; Lianfen Huang (IEEE Trans. Veh. Technol., 2023)

Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement. - Myeung Suk Oh; Seyyedali Hosseinalipour; Taejoon Kim; David J. Love; James V. Krogmeier; Christopher G. Brinton (IEEE Trans. Veh. Technol., 2023)

Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. - Su Wang 007; Seyyedali Hosseinalipour; Vaneet Aggarwal; Christopher G. Brinton; David J. Love; Weifeng Su; Mung Chiang (IEEE Commun. Mag., 2023)

Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. - Bhargav Ganguly; Seyyedali Hosseinalipour; Kwang Taik Kim; Christopher G. Brinton; Vaneet Aggarwal; David J. Love; Mung Chiang (IEEE/ACM Trans. Netw., 2023)

Confluence of Random Walks, Interacting Particle Systems, and Distributed Machine Learning: Federated Learning through Crawling over Networks. - Seyyedali Hosseinalipour (AAAI Spring Symposia, 2024)

Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. - Anurata Prabha Hridi; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (AAAI Spring Symposia, 2024)

Real-Time and Low-Overhead Graph Task Scheduling over Vehicular Computing-Assisted Edge Networks. - Bingshuo Guo; Minghui Liwang; Fan Yang; Seyyedali Hosseinalipour; Xianbin Wang 001; Huaiyu Dai (ICC, 2024)

Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks. - Dong-Jun Han; Seyyedali Hosseinalipour; David J. Love; Mung Chiang; Christopher G. Brinton (ICC, 2024)

Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. - Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. - Payam Abdisarabshali; Kwang Taik Kim; Michael Langberg; Weifeng Su; Seyyedali Hosseinalipour (CoRR, 2024)

Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction. - Zhan-Lun Chang; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services. - Zhang Liu; Hongyang Du; Xiangwang Hou; Lianfen Huang; Seyyedali Hosseinalipour; Dusit Niyato; Khaled Ben Letaief (CoRR, 2024)

Matching-Based Hybrid Service Trading for Task Assignment Over Dynamic Mobile Crowdsensing Networks. - Houyi Qi; Minghui Liwang; Seyyedali Hosseinalipour; Xiaoyu Xia 001; Zhipeng Cheng; Xianbin Wang 001; Zhenzhen Jiao (IEEE Trans. Serv. Comput., 2024)

A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. - Myeung Suk Oh; Anindya Bijoy Das; Seyyedali Hosseinalipour; Taejoon Kim; David J. Love; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2024)

Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources. - Payam Abdisarabshali; Minghui Liwang; Amir Rajabzadeh; Mahmood Ahmadi; Seyyedali Hosseinalipour (IEEE/ACM Trans. Netw., 2024)

Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. - Seyyedali Hosseinalipour; Su Wang 007; Nicolò Michelusi; Vaneet Aggarwal; Christopher G. Brinton; David J. Love; Mung Chiang (IEEE/ACM Trans. Netw., 2024)

TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds. - Zhang Liu; Yifeng Zhao; Seyyedali Hosseinalipour; Zhibin Gao; Lianfen Huang; Huaiyu Dai (IEEE Trans. Veh. Technol., 2024)

Delay-Aware Hierarchical Federated Learning. - Frank Po-Chen Lin; Seyyedali Hosseinalipour; Nicolò Michelusi; Christopher G. Brinton (IEEE Trans. Cogn. Commun. Netw., 2024)

Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. - Dong-Jun Han; Seyyedali Hosseinalipour; David J. Love; Mung Chiang; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2024)

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. - Su Wang 007; Seyyedali Hosseinalipour; Christopher G. Brinton (IEEE Trans. Cogn. Commun. Netw., 2024)

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds. - Zhang Liu; Lianfen Huang; Zhibin Gao; Manman Luo; Seyyedali Hosseinalipour; Huaiyu Dai (IEEE Trans. Netw. Serv. Manag., 2024)

Guest Editorial: Federated Learning for Industrial Internet of Things. - Dinh C. Nguyen; Viet Quoc Pham; Seyyedali Hosseinalipour; Zehui Xiong; Tuan M. Hoang Trong; Yonina C. Eldar (IEEE Internet Things Mag., 2024)

Asynchronous Multi-Model Dynamic Federated Learning Over Wireless Networks: Theory, Modeling, and Optimization. - Zhan-Lun Chang; Seyyedali Hosseinalipour; Mung Chiang; Christopher G. Brinton (IEEE Trans. Cogn. Commun. Netw., 2024)

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. - Su Wang 007; Roberto Morabito; Seyyedali Hosseinalipour; Mung Chiang; Christopher G. Brinton (IEEE/ACM Trans. Netw., 2024)

Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. - Dong-Jun Han; Wenzhi Fang; Seyyedali Hosseinalipour; Mung Chiang; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2024)

Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning Without Labels. - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Christopher G. Brinton (IEEE Trans. Cogn. Commun. Netw., 2024)

Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher G. Brinton (AAAI, 2025)

Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. - Anurata Prabha Hridi; Muntasir Hoq; Zhikai Gao; Collin Lynch; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (EDM, 2025)

Unlocking the Potential of Model Calibration in Federated Learning. - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher Brinton 001 (ICLR, 2025)

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. - Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (ICLR, 2025)

A holistic survey of UAV-assisted wireless communications in the transition from 5G to 6G: State-of-the-art intertwined innovations, challenges, and opportunities. - Mobasshir Mahbub; Mir Md. Saym; Sarwar Jahan; Anup Kumar Paul; Alireza Vahid; Seyyedali Hosseinalipour; Bobby Barua; Hen-Geul Yeh; Raed M. Shubair; Tarik Taleb (J. Netw. Comput. Appl., 2025)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. - Yun-Wei Chu; Seyyedali Hosseinalipour; Elizabeth Tenorio; Laura Melissa Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (IEEE Trans. Emerg. Top. Comput., 2025)

Seamless Graph Task Scheduling Over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions. - Bingshuo Guo; Minghui Liwang; Xiaoyu Xia 001; Li Li 008; Zhenzhen Jiao; Seyyedali Hosseinalipour; Xianbin Wang 001 (IEEE Trans. Serv. Comput., 2025)

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. - Seohyun Lee; Wenzhi Fang; Anindya Bijoy Das; Seyyedali Hosseinalipour; David J. Love; Christopher G. Brinton (CoRR, 2025)

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning. - Xiaohong Yang; Minghui Liwang; Xianbin Wang 001; Zhipeng Cheng; Seyyedali Hosseinalipour; Huaiyu Dai; Zhenzhen Jiao (CoRR, 2025)

The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions. - Maryam Ebrahimi; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (CoRR, 2025)

Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. - Wenzhi Fang; Dong-Jun Han; Liangqi Yuan; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2025)

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. - Kasra Borazjani; Naji Khosravan; Leslie Ying; Seyyedali Hosseinalipour (IEEE Trans. Medical Imaging, 2025)

Unleashing the Potential of Stage-Wise Decision-Making in Scheduling of Graph-Structured Tasks Over Mobile Vehicular Clouds. - Minghui Liwang; Bingshuo Guo; Zhanxi Ma; Yuhan Su; Jian Jin; Seyyedali Hosseinalipour; Xianbin Wang 001; Huaiyu Dai (IEEE Commun. Mag., 2025)

Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions. - Houyi Qi; Minghui Liwang; Seyyedali Hosseinalipour; Liqun Fu 001; Sai Zou; Wei Ni 001 (CoRR, 2025)

Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology. - Minghong Wu; Minghui Liwang; Yuhan Su; Li Li 008; Seyyedali Hosseinalipour; Xianbin Wang 001; Huaiyu Dai; Zhenzhen Jiao (CoRR, 2025)

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing. - Minghui Liwang; Zhibin Gao; Seyyedali Hosseinalipour; Zhipeng Cheng; Xianbin Wang 001; Zhenzhen Jiao (IEEE Trans. Mob. Comput., 2025)

Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT. - Xiaohong Yang; Minghui Liwang; Liqun Fu 001; Yuhan Su; Seyyedali Hosseinalipour; Xianbin Wang 001; Yiguang Hong (CoRR, 2025)

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions. - Kasra Borazjani; Payam Abdisarabshali; Naji Khosravan; Seyyedali Hosseinalipour (CoRR, 2025)

DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach. - Zhang Liu; Hongyang Du; Junzhe Lin; Zhibin Gao; Lianfen Huang; Seyyedali Hosseinalipour; Dusit Niyato (IEEE Trans. Mob. Comput., 2025)

Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis. - Shahryar Zehtabi; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2025)

Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach With Performance Guarantees. - Sai Sanjeet; Seyyedali Hosseinalipour; Jinjun Xiong; Masahiro Fujita; Bibhu Datta Sahoo 002 (IEEE Internet Things J., 2025)

Accelerating the Delivery of Data Services Over Uncertain Mobile Crowdsensing Networks. - Minghui Liwang; Zhipeng Cheng; Wei Gong 003; Li Li 008; Yuhan Su; Zhenzhen Jiao; Seyyedali Hosseinalipour; Xianbin Wang 001; Huaiyu Dai (IEEE Wirel. Commun., 2025)

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration. - Kasra Borazjani; Payam Abdisarabshali; Fardis Nadimi; Naji Khosravan; Minghui Liwang; Xianbin Wang 001; Yiguang Hong; Seyyedali Hosseinalipour (CoRR, 2025)

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR. - Fardis Nadimi; Payam Abdisarabshali; Kasra Borazjani; Jacob Chakareski; Seyyedali Hosseinalipour (CoRR, 2025)

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. - Junghoon Kim; Taejoon Kim; Anindya Bijoy Das; Seyyedali Hosseinalipour; David J. Love; Christopher G. Brinton (IEEE Trans. Inf. Theory, 2025)