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cs.LG2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan, Xuehe Wang
Federated Learning (FL) has emerged as a crucial distributed training paradigm, enabling discrete devices to collaboratively train a shared model under the coordination of a centra…
cs.DC2023
Adaptive Federated Learning via New Entropy Approach
Shensheng Zheng, Wenhao Yuan, Xuehe Wang +1
Federated Learning (FL) has emerged as a prominent distributed machine learning framework that enables geographically discrete clients to train a global model collaboratively while…