An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms. - Ping Guo 003; Yang Zhou 001; Jun Zhuang; Ting Chen; Yan-Rong Kang (ADMA, 2005)

Identifying bug signatures using discriminative graph mining. - Hong Cheng 001; David Lo 001; Yang Zhou 001; Xiaoyin Wang; Xifeng Yan (ISSTA, 2009)

Graph Clustering Based on Structural/Attribute Similarities. - Yang Zhou 001; Hong Cheng 001; Jeffrey Xu Yu (Proc. VLDB Endow., 2009)

Clustering Large Attributed Graphs: An Efficient Incremental Approach. - Yang Zhou 001; Hong Cheng 001; Jeffrey Xu Yu (ICDM, 2010)

Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities. - Hong Cheng 001; Yang Zhou 001; Jeffrey Xu Yu (ACM Trans. Knowl. Discov. Data, 2011)

Clustering large attributed information networks: an efficient incremental computing approach. - Hong Cheng 001; Yang Zhou 001; Xin Huang 001; Jeffrey Xu Yu (Data Min. Knowl. Discov., 2012)

Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud. - Kisung Lee; Ling Liu 001; Yuzhe Richard Tang; Qi Zhang 009; Yang Zhou 001 (IEEE CLOUD, 2013)

Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis. - Qi Zhang 009; Ling Liu 001; Yi Ren; Kisung Lee; Yuzhe Richard Tang; Xu Zhao; Yang Zhou 001 (IEEE CLOUD, 2013)

ServiceTrust: Trust Management in Service Provision Networks. - Zhiyuan Su; Ling Liu 001; Mingchu Li; Xinxin Fan; Yang Zhou 001 (IEEE SCC, 2013)

Ranking Services by Service Network Structure and Service Attributes. - Yang Zhou 001; Ling Liu 001; Chang-Shing Perng; Anca Sailer; Ignacio Silva-Lepe; Zhiyuan Su (ICWS, 2013)

Social influence based clustering of heterogeneous information networks. - Yang Zhou 001; Ling Liu 001 (KDD, 2013)

Improving Hadoop Service Provisioning in a Geographically Distributed Cloud. - Qi Zhang 009; Ling Liu 001; Kisung Lee; Yang Zhou 001; Aameek Singh; NagaPramod Mandagere; Sandeep Gopisetty; Gabriel Alatorre (IEEE CLOUD, 2014)

GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics. - Yang Zhou 001; Sangeetha Seshadri; Lawrence Chiu; Ling Liu 001 (BigData Congress, 2014)

Activity-edge centric multi-label classification for mining heterogeneous information networks. - Yang Zhou 001; Ling Liu 001 (KDD, 2014)

Anonymizing continuous queries with delay-tolerant mix-zones over road networks. - Balaji Palanisamy; Ling Liu 001; Kisung Lee; Shicong Meng; Yuzhe Richard Tang; Yang Zhou 001 (Distributed Parallel Databases, 2014)

Policy-Driven Configuration Management for NoSQL. - Xianqiang Bao; Ling Liu 001; Nong Xiao 001; Yang Zhou 001; Qi Zhang 009 (CLOUD, 2015)

Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions. - Yang Zhou 001; Ling Liu 001; Kisung Lee; Calton Pu; Qi Zhang 009 (HPDC, 2015)

Clustering Service Networks with Entity, Attribute, and Link Heterogeneity. - Yang Zhou 001; Ling Liu 001; Calton Pu; Xianqiang Bao; Kisung Lee; Balaji Palanisamy; Emre Yigitoglu; Qi Zhang 009 (ICWS, 2015)

Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis. - Yang Zhou 001; Ling Liu 001; David Buttler (KDD, 2015)

Scaling iterative graph computations with GraphMap. - Kisung Lee; Ling Liu 001; Karsten Schwan; Calton Pu; Qi Zhang 009; Yang Zhou 001; Emre Yigitoglu; Pingpeng Yuan (SC, 2015)

GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations. - Yang Zhou 001; Ling Liu 001; Kisung Lee; Qi Zhang 009 (Proc. VLDB Endow., 2015)

Social Influence Based Clustering and Optimization over Heterogeneous Information Networks. - Yang Zhou 001; Ling Liu 001 (ACM Trans. Knowl. Discov. Data, 2015)

Reliable and Resilient Trust Management in Distributed Service Provision Networks. - Zhiyuan Su; Ling Liu 001; Mingchu Li; Xinxin Fan; Yang Zhou 001 (ACM Trans. Web, 2015)

Analyzing Enterprise Storage Workloads With Graph Modeling and Clustering. - Yang Zhou 001; Ling Liu 001; Sangeetha Seshadri; Lawrence Chiu (IEEE J. Sel. Areas Commun., 2016)

CSM: A Cloud Service Marketplace for Complex Service Acquisition. - Yexi Jiang; Chang-Shing Perng; Anca Sailer; Ignacio Silva-Lepe; Yang Zhou 001; Tao Li 001 (ACM Trans. Intell. Syst. Technol., 2016)

Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. - Yang Zhou 001; Amnay Amimeur; Chao Jiang 002; Dejing Dou; Ruoming Jin; Pengwei Wang 004 (IEEE BigData, 2018)

Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. - Yang Zhou 001; Sixing Wu; Chao Jiang 002; Zijie Zhang 001; Dejing Dou; Ruoming Jin; Pengwei Wang 004 (ICDM, 2018)

Privacy-Preserving Publishing of Multilevel Utility-Controlled Graph Datasets. - Balaji Palanisamy; Ling Liu 001; Yang Zhou 001; Qingyang Wang 001 (ACM Trans. Internet Techn., 2018)

Innovative mining, processing, and application of big graphs. - Yang Zhou 001 (2018)

Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. - Yang Zhou 001; Chao Jiang 002; Zijie Zhang 001; Dejing Dou; Ruoming Jin; Pengwei Wang 004 (IEEE BigData, 2019)

Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. - Yang Zhou 001; Jiaxiang Ren 001; Sixing Wu; Dejing Dou; Ruoming Jin; Zijie Zhang 001; Pengwei Wang 004 (IEEE BigData, 2019)

Approximate Deep Network Embedding for Mining Large-Scale Graphs. - Yang Zhou 001; Ling Liu 001 (CogMI, 2019)

Enhancing Collaborative Filtering with Multi-label Classification. - Yang Zhou 001; Ling Liu 001; Qi Zhang 009; Kisung Lee; Balaji Palanisamy (CSoNet, 2019)

Dual Adversarial Learning Based Network Alignment. - Jiaxiang Ren 001; Yang Zhou 001; Ruoming Jin; Zijie Zhang 001; Dejing Dou; Pengwei Wang 004 (ICDM, 2019)

Lightweight Indexing and Querying Services for Big Spatial Data. - Kisung Lee; Ling Liu 001; Raghu K. Ganti; Mudhakar Srivatsa; Qi Zhang 009; Yang Zhou 001; Qingyang Wang 001 (IEEE Trans. Serv. Comput., 2019)

Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness. - Sixing Wu; Ying Li 012; Dawei Zhang 003; Yang Zhou 001; Zhonghai Wu (ACL, 2020)

BELT: A Pipeline for Stock Price Prediction Using News. - Yingzhe Dong; Da Yan 001; Abdullateef Ibrahim Almudaifer; Sibo Yan; Zhe Jiang 001; Yang Zhou 001 (IEEE BigData, 2020)

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Dejing Dou; Da Yan 001 (IEEE BigData, 2020)

Robust Meta Network Embedding against Adversarial Attacks. - Yang Zhou 001; Jiaxiang Ren 001; Dejing Dou; Ruoming Jin; Jingyi Zheng; Kisung Lee (ICDM, 2020)

Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning. - Sujata Sinha; Thomas S. Denney; Yang Zhou 001; Jingyi Zheng (ICMLA, 2020)

TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. - Sixing Wu; Ying Li 012; Dawei Zhang 003; Yang Zhou 001; Zhonghai Wu (IJCAI, 2020)

Adversarial Attacks on Deep Graph Matching. - Zijie Zhang 001; Zeru Zhang; Yang Zhou 001; Yelong Shen; Ruoming Jin; Dejing Dou (NeurIPS, 2020)

Parallel Mining of Frequent Subtree Patterns. - Wenwen Qu; Da Yan 001; Guimu Guo; Xiaoling Wang 004; Lei Zou 001; Yang Zhou 001 (SFDI/LSGDA@VLDB, 2020)

GraphMap: scalable iterative graph processing using NoSQL. - Sayan Goswami; Ayam Pokhrel; Kisung Lee; Ling Liu 001; Qi Zhang 009; Yang Zhou 001 (J. Supercomput., 2020)

Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks. - Yang Zhou 001; Ling Liu 001; Kisung Lee; Balaji Palanisamy; Qi Zhang 009 (ACM Trans. Internet Techn., 2020)

More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge. - Sixing Wu; Ying Li 012; Minghui Wang; Dawei Zhang 003; Yang Zhou 001; Zhonghai Wu (EMNLP (1), 2021)

Adversarial Attack against Cross-lingual Knowledge Graph Alignment. - Zeru Zhang; Zijie Zhang 001; Yang Zhou 001; Lingfei Wu 001; Sixing Wu; Xiaoying Han; Dejing Dou; Tianshi Che; Da Yan 001 (EMNLP (1), 2021)

Integrated Defense for Resilient Graph Matching. - Jiaxiang Ren 001; Zijie Zhang 001; Jiayin Jin; Xin Zhao; Sixing Wu; Yang Zhou 001; Yelong Shen; Tianshi Che; Ruoming Jin; Dejing Dou (ICML, 2021)

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. - Xin Zhao; Zeru Zhang; Zijie Zhang 001; Lingfei Wu 001; Jiayin Jin; Yang Zhou 001; Ruoming Jin; Dejing Dou; Da Yan 001 (ICML, 2021)

Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. - Sixing Wu; Minghui Wang; Dawei Zhang 003; Yang Zhou 001; Ying Li 012; Zhonghai Wu (IJCAI, 2021)

Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. - Xingkun Yin; Da Yan 001; Abdullateef Ibrahim Almudaifer; Sibo Yan; Yang Zhou 001 (IJCNN, 2021)

Towards a Better Understanding of Linear Models for Recommendation. - Ruoming Jin; Dong Li; Jing Gao; Zhi Liu; Li Chen; Yang Zhou 001 (KDD, 2021)

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. - Zeru Zhang; Jiayin Jin; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Jiaxiang Ren 001; Ji Liu 003; Lingfei Wu 001; Ruoming Jin; Dejing Dou (NeurIPS, 2021)

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. - Yang Zhou 001; Zeru Zhang; Sixing Wu; Victor S. Sheng; Xiaoying Han; Zijie Zhang 001; Ruoming Jin (WWW, 2021)

Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation. - Gong Zhang; Yang Zhou 001; Sixing Wu; Zeru Zhang; Dejing Dou (CoRR, 2021)

Toward the Impact of Non-pharmaceutical Interventions and Vaccination on the COVID-19 Pandemic With Time-Dependent SEIR Model. - Yuexin Li; Linqiang Ge; Yang Zhou 001; Xuan Cao; Jingyi Zheng (Frontiers Artif. Intell., 2021)

Efficient Device Scheduling with Multi-Job Federated Learning. - Chendi Zhou; Ji Liu 003; Juncheng Jia; Jingbo Zhou; Yang Zhou 001; Huaiyu Dai; Dejing Dou (AAAI, 2022)

Maximal Directed Quasi -Clique Mining. - Guimu Guo; Da Yan 001; Lyuheng Yuan; Jalal Khalil; Cheng Long 001; Zhe Jiang 001; Yang Zhou 001 (ICDE, 2022)

Federated Fingerprint Learning with Heterogeneous Architectures. - Tianshi Che; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Ji Liu 003; Zhe Jiang 001; Da Yan 001; Ruoming Jin; Dejing Dou (ICDM, 2022)

Center-Based iPSC Colony Counting with Multi-Task Learning. - Mirza Tanzim Sami; Da Yan 001; Bhadhan Roy Joy; Jalal Khalil; Ricardo Cevallos; Md. Emon Hossain; Kejin Hu; Yang Zhou 001 (ICDM, 2022)

Accelerated Federated Learning with Decoupled Adaptive Optimization. - Jiayin Jin; Jiaxiang Ren 001; Yang Zhou 001; Lingjuan Lyu; Ji Liu 003; Dejing Dou (ICML, 2022)

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. - Jiayin Jin; Zeru Zhang; Yang Zhou 001; Lingfei Wu 001 (ICML, 2022)

FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. - Hong Zhang 059; Ji Liu 003; Juncheng Jia; Yang Zhou 001; Huaiyu Dai; Dejing Dou (IJCAI, 2022)

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. - Wenchong He; Zhe Jiang 001; Marcus Kriby; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (KDD, 2022)

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. - Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Tianshi Che; Lingjuan Lyu (NeurIPS, 2022)

From distributed machine learning to federated learning: a survey. - Ji Liu 003; Jizhou Huang; Yang Zhou 001; Xuhong Li 002; Shilei Ji; Haoyi Xiong; Dejing Dou (Knowl. Inf. Syst., 2022)

Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. - Wenchong He; Arpan Man Sainju; Zhe Jiang 001; Da Yan 001; Yang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2022)

Unsupervised Adversarial Network Alignment with Reinforcement Learning. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Jingyi Zheng; Zhe Jiang 001; Da Yan 001; Dejing Dou (ACM Trans. Knowl. Discov. Data, 2022)

A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. - Huan Rong; Victor S. Sheng; Tinghuai Ma; Yang Zhou 001; Mznah Al-Rodhaan (IEEE Trans. Knowl. Data Eng., 2022)

PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. - Da Yan 001; Wenwen Qu; Guimu Guo; Xiaoling Wang 004; Yang Zhou 001 (VLDB J., 2022)

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. - Tianshi Che; Ji Liu 003; Yang Zhou 001; Jiaxiang Ren 001; Jiwen Zhou; Victor S. Sheng; Huaiyu Dai; Dejing Dou (EMNLP, 2023)

Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation. - Sixing Wu; Jiong Yu; Tianshi Che; Yang Zhou 001; Wei Zhou 011 (EMNLP (Findings), 2023)

A Channel Aggregation Based Dynamic Pruning Method in Federated Learning. - Zhuo Chen; Xiaoxiang Tan; Zhiyuan Zhou; Yang Zhou 001 (GLOBECOM, 2023)

A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. - Huan Rong; Victor S. Sheng; Tinghuai Ma; Yang Zhou 001; Mznah Al-Rodhaan (ICDE, 2023)

Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. - Jiaxiang Ren 001; Yang Zhou 001; Jiayin Jin; Lingjuan Lyu; Da Yan 001 (ICML, 2023)

Fast Federated Machine Unlearning with Nonlinear Functional Theory. - Tianshi Che; Yang Zhou 001; Zijie Zhang 001; Lingjuan Lyu; Ji Liu 003; Da Yan 001; Dejing Dou; Jun Huan (ICML, 2023)

International Workshop on Federated Learning for Distributed Data Mining. - Junyuan Hong; Zhuangdi Zhu; Lingjuan Lyu; Yang Zhou 001; Vishnu Naresh Boddeti; Jiayu Zhou (KDD, 2023)

A hierarchical federated learning model with adaptive model parameter aggregation. - Zhuo Chen; Chuan Zhou; Yang Zhou 001 (Comput. Sci. Inf. Syst., 2023)

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. - Zichong Wang; Yang Zhou 001; Meikang Qiu; Israat Haque 001; Laura Brown; Yi He 001; Jianwu Wang 001; David Lo 001; Wenbin Zhang 002 (CoRR, 2023)

Adversarial Attacks on Code Models with Discriminative Graph Patterns. - Thanh-Dat Nguyen; Yang Zhou 001; Xuan-Bach Dinh Le 001; Patanamon Thongtanunam; David Lo 001 (CoRR, 2023)

Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. - Ji Liu 003; Juncheng Jia; Beichen Ma; Chendi Zhou; Jingbo Zhou; Yang Zhou 001; Huaiyu Dai; Dejing Dou (IEEE Trans. Parallel Distributed Syst., 2023)

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. - Ji Liu 003; Juncheng Jia; Tianshi Che; Chao Huo; Jiaxiang Ren 001; Yang Zhou 001; Huaiyu Dai; Dejing Dou (AAAI, 2024)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. - Jalal Khalil; Akhlaque Ahmad; Da Yan 001; Lyuheng Yuan; Saugat Adhikari; Yang Zhou 001; Zhe Jiang 001 (CIKM, 2024)

Advancing Certified Robustness of Explanation via Gradient Quantization. - Yang Xiao; Zijie Zhang 001; Yuchen Fang 001; Da Yan 001; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CIKM, 2024)

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. - Ji Liu 003; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Yang Zhou 001; Patrick Valduriez; Dejing Dou (EMNLP, 2024)

FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. - Jalal Khalil; Da Yan 001; Lyuheng Yuan; Jiao Han; Saugat Adhikari; Cheng Long 001; Yang Zhou 001 (ICDE, 2024)

Faster Depth-First Subgraph Matching on GPUs. - Lyuheng Yuan; Da Yan 001; Jiao Han; Akhlaque Ahmad; Yang Zhou 001; Zhe Jiang 001 (ICDE, 2024)

G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs. - Lyuheng Yuan; Akhlaque Ahmad; Da Yan 001; Jiao Han; Saugat Adhikari; Xiaodong Yu; Yang Zhou 001 (ICDE, 2024)

Effective Federated Graph Matching. - Yang Zhou 001; Zijie Zhang 001; Zeru Zhang; Lingjuan Lyu; Wei-Shinn Ku (ICML, 2024)

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. - Mirza Tanzim Sami; Da Yan 001; Saugat Adhikari; Lyuheng Yuan; Jiao Han; Zhe Jiang 001; Jalal Khalil; Yang Zhou 001 (IJCAI, 2024)

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. - Ji Liu 003; Tianshi Che; Yang Zhou 001; Ruoming Jin; Huaiyu Dai; Dejing Dou; Patrick Valduriez (SDM, 2024)

A Survey of Lottery Ticket Hypothesis. - Bohan Liu; Zijie Zhang 001; Peixiong He; Zhensen Wang; Yang Xiao; Ruimeng Ye; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CoRR, 2024)

Analyzing the blockchain mining strategy in Industrial Internet of Things: A game theoretical approach. - Zhuo Chen; Zhe Liu; Yang Zhou 001 (Future Gener. Comput. Syst., 2024)

Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment. - Huan Rong; Xin Yu; Tinghuai Ma; Victor S. Sheng; Yang Zhou 001; Mznah Al-Rodhaan (ACM Trans. Knowl. Discov. Data, 2024)

Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. - Ji Liu 003; Juncheng Jia; Hong Zhang 059; Yuhui Yun; Leye Wang; Yang Zhou 001; Huaiyu Dai; Dejing Dou (ACM Trans. Intell. Syst. Technol., 2024)

Efficient Enumeration of Large Maximal k-Plexes. - Qihao Cheng; Da Yan 001; Tianhao Wu 006; Lyuheng Yuan; Ji Cheng 002; Zhongyi Huang; Yang Zhou 001 (EDBT, 2025)

Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data. - Saugat Adhikari; Da Yan 001; Zhe Jiang 001; Jiao Han; Zelin Xu 001; Yupu Zhang; Arpan Man Sainju; Yang Zhou 001 (ACM Trans. Spatial Algorithms Syst., 2025)

Efficient Federated Learning with Timely Update Dissemination. - Juncheng Jia; Ji Liu 003; Chao Huo; Yihui Shen; Yang Zhou 001; Huaiyu Dai; Dejing Dou (CoRR, 2025)

Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. - Ji Liu 003; Beichen Ma; Qiaolin Yu; Ruoming Jin; Jingbo Zhou; Yang Zhou 001; Huaiyu Dai; Haixun Wang; Dejing Dou; Patrick Valduriez (CoRR, 2025)