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cs.LG2024
Federated Dropout: Convergence Analysis and Resource Allocation
Sijing Xie, Dingzhu Wen, Xiaonan Liu +3
Federated Dropout is an efficient technique to overcome both communication and computation bottlenecks for deploying federated learning at the network edge. In each training round,…
cs.LG2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu, Tharmalingam Ratnarajah, Mathini Sellathurai +1
Federated learning (FL) enables distributed learning across edge devices while protecting data privacy. However, the learning accuracy decreases due to the heterogeneity of devices…