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most citedFedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization

2 citations · 3 across the 5 of their papers we have counts for

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cs.LG2023

How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels

Linping Qu, Shenghui Song, Chi-Ying Tsui +1

Because of its privacy-preserving capability, federated learning (FL) has attracted significant attention from both academia and industry. However, when being implemented over wire…