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cs.LG2025
Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning
Xusheng Zhang, Tuan Nguyen, Ting He
We consider the design of mixing matrices to minimize the operation cost for decentralized federated learning (DFL) in wireless networks, with focus on minimizing the maximum per-n…
cs.LG2024
Energy-efficient Decentralized Learning via Graph Sparsification
Xusheng Zhang, Cho-Chun Chiu, Ting He
This work aims at improving the energy efficiency of decentralized learning by optimizing the mixing matrix, which controls the communication demands during the learning process. T…