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20232026
most citedFedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2025

FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation

Linping Qu, Shenghui Song, Chi-Ying Tsui

In wireless federated learning (FL), the clients need to transmit the high-dimensional deep neural network (DNN) parameters through bandwidth-limited channels, which causes the com…