12 citations · 23 across the 5 of their papers we have counts for
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cs.LG2020★ 12 cited
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
Liang Li, Dian Shi, Ronghui Hou +3
Recent advances in machine learning, wireless communication, and mobile hardware technologies promisingly enable federated learning (FL) over massive mobile edge devices, which ope…
cs.NI2020★ 1 cited
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission
Rui Chen, Liang Li, Kaiping Xue +3
Federated learning (FL) is a popular collaborative distributed machine learning paradigm across mobile devices. However, practical FL over resource constrained mobile devices confr…