FedHD: Communication-efficient federated learning from hybrid data.
J. Frankl. Inst., 2023
Gradient and Variable Tracking with Multiple Local SGD for Decentralized Non-Convex Learning.
CoRR, 2023
Approaching Centralized Multi-cell Coordinated Beamforming with Limited Backhaul Signaling.
Proceedings of the IEEE International Conference on Communications, 2023
Gradient Tracking with Multiple Local SGD for Decentralized Non-Convex Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem.
IEEE Trans. Signal Process., 2022
Decentralized Non-Convex Learning with Linearly Coupled Constraints.
CoRR, 2021
Mobile Edge Computing Against Smart Attacks with Deep Reinforcement Learning in Cognitive MIMO IoT Systems.
Mob. Networks Appl., 2020
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Computation Offloading and Security with Q-Learning.
Proceedings of the IoT as a Service - 5th EAI International Conference, 2019