2 papers
cs.LG2026
Decentralized Federated Learning With Energy Harvesting Devices
Kai Zhang, Xuanyu Cao, Khaled B. Letaief
Decentralized federated learning (DFL) enables edge devices to collaboratively train models through local training and fully decentralized device-to-device (D2D) model exchanges. H…
cs.LG2025
Federated Learning With Energy Harvesting Devices: An MDP Framework
Kai Zhang, Xuanyu Cao, Khaled B. Letaief
Federated learning (FL) necessitates that edge devices conduct local training and communicate with a parameter server, resulting in significant energy consumption. A key challenge…