Seyyedali Hosseinalipour

Orcid: 0000-0003-4266-4000

According to our database1, Seyyedali Hosseinalipour authored at least 83 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Delay-Aware Hierarchical Federated Learning.
IEEE Trans. Cogn. Commun. Netw., April, 2024

TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds.
IEEE Trans. Veh. Technol., March, 2024

Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks.
IEEE/ACM Trans. Netw., February, 2024

Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources.
IEEE/ACM Trans. Netw., February, 2024

A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO.
IEEE J. Sel. Areas Commun., February, 2024

Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees.
CoRR, 2024

Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training.
CoRR, 2024

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities.
CoRR, 2024

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches.
CoRR, 2024

2023
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point.
IEEE/ACM Trans. Netw., December, 2023

Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks.
IEEE Commun. Mag., December, 2023

Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement.
IEEE Trans. Veh. Technol., November, 2023

RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds.
IEEE Trans. Veh. Technol., September, 2023

UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach.
IEEE Trans. Netw. Serv. Manag., June, 2023

Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks.
IEEE Trans. Serv. Comput., 2023

Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading.
CoRR, 2023

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks.
CoRR, 2023

DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud.
CoRR, 2023

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds.
CoRR, 2023

Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks.
CoRR, 2023

Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization.
CoRR, 2023

Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services.
CoRR, 2023

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation.
CoRR, 2023

Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks.
CoRR, 2023

Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

2022
Dynamic Interference Management for UAV-Assisted Wireless Networks.
IEEE Trans. Wirel. Commun., 2022

Learning-Based Adaptive IRS Control With Limited Feedback Codebooks.
IEEE Trans. Wirel. Commun., 2022

Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks.
IEEE/ACM Trans. Netw., 2022

A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks.
IEEE Trans. Mob. Comput., 2022

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions.
IEEE Trans. Cloud Comput., 2022

Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing.
IEEE J. Sel. Areas Commun., 2022

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.
CoRR, 2022

Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices.
CoRR, 2022

Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets.
CoRR, 2022

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing.
CoRR, 2022

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks.
Proceedings of the IEEE International Conference on Communications, 2022

Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange.
Proceedings of the IEEE Global Communications Conference, 2022

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Linear Coding for Gaussian Two-Way Channels.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Can we Generalize and Distribute Private Representation Learning?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Energy-Aware Stochastic UAV-Assisted Surveillance.
IEEE Trans. Wirel. Commun., 2021

A Two-Stage Auction Mechanism for Cloud Resource Allocation.
IEEE Trans. Cloud Comput., 2021

Fast-Convergent Federated Learning.
IEEE J. Sel. Areas Commun., 2021

Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations.
IEEE J. Sel. Areas Commun., 2021

Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations.
CoRR, 2021

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Cooperative Relaying and Power Control for UAV-Assisted Vehicular Networks with Deep Q-Network.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks.
Proceedings of the ICC 2021, 2021

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach.
Proceedings of the ICC 2021, 2021

Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Interference Avoidance Position Planning in Dual-Hop and Multi-Hop UAV Relay Networks.
IEEE Trans. Wirel. Commun., 2020

Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks.
IEEE Trans. Parallel Distributed Syst., 2020

Infection Analysis on Irregular Networks Through Graph Signal Processing.
IEEE Trans. Netw. Sci. Eng., 2020

Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV.
IEEE Internet Things J., 2020

Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications.
CoRR, 2020

Towards Generalized and Distributed Privacy-Preserving Representation Learning.
CoRR, 2020

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks.
CoRR, 2020

From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks.
CoRR, 2020

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks.
IEEE Commun. Mag., 2020

Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Multi-Task Offloading over Vehicular Clouds under Graph-based Representation.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Optimal Jammer Placement in UAV-assisted Relay Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game.
CoRR, 2019

Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds.
CoRR, 2019

Smart Information Spreading for Opinion Maximization in Social Networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Optimal Time Allocation in VANETs Advertising: A Price-Based Approach using Stacklberg Game.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Interference Avoidance Position Planning in UAV-Assisted Wireless Communication.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Performance of Möbius Interleavers for Turbo Codes.
Wirel. Pers. Commun., 2018

Allocation of Graph Jobs in Geo-Distributed Cloud Networks.
CoRR, 2018

2017
Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures.
IEEE Trans. Commun., 2017

Options-based sequential auctions for dynamic cloud resource allocation.
Proceedings of the IEEE International Conference on Communications, 2017

Dynamic Advertising in VANETs Using Repeated Auctions.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Detection of Infections Using Graph Signal Processing in Heterogeneous Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Real-Time Strategy Selection for Mobile Advertising in VANETs.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2015
Minimum free distance of CCSDS turbo encoders under (Truncated) Möbius interleavers.
Proceedings of the Iran Workshop on Communication and Information Theory, 2015


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