A Model Personalization-based Federated Learning Approach for Heterogeneous Participants with Variability in the Dataset

HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association

(2023) Qiong Wu et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A Federated Learning Approach With Imperfect Labels in LoRa-Based Transportation Systems

(2023) Ramakant Kumar et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning

(2022) Yimin Shi et al.   ACM Transactions on Sensor Networks

ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition

(2022) Xiaomin Ouyang et al.   ACM Transactions on Sensor Networks

Computation Offloading for Edge-Assisted Federated Learning

(2021) Zhongming Ji et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Communication-Efficient Federated Learning With Compensated Overlap-FedAvg

(2021) Yuhao Zhou et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Federated Learning: Challenges, Methods, and Future Directions

(2020) Tian Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

A Sensors Based Deep Learning Model for Unseen Locomotion Mode Identification using Multiple Semantic Matrices

(2020) Rahul Mishra et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Highlight Every Step: Knowledge Distillation via Collaborative Teaching

(2020) Haoran Zhao et al.   IEEE Transactions on Cybernetics

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

(2019) Shiqiang Wang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Wireless Network Intelligence at the Edge

(2019) Jihong Park et al.   PROCEEDINGS OF THE IEEE