most citedAQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy

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cs.DC2022

SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications

Yuzhu Mao, Zihao Zhao, Meilin Yang +5

Federated learning (FL) enables edge devices to collaboratively learn a model in a distributed fashion. Many existing researches have focused on improving communication efficiency…