14 citations · 16 across the 3 of their papers we have counts for
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cs.LG2022★ 2 cited
CC-FedAvg: Computationally Customized Federated Averaging
Hao Zhang, Tingting Wu, Siyao Cheng +1
Federated learning (FL) is an emerging paradigm to train model with distributed data from numerous Internet of Things (IoT) devices. It inherently assumes a uniform capacity among…
cs.LG2022★ 14 cited
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
Hao Zhang, Tingting Wu, Siyao Cheng +1
As an emerging technology, federated learning (FL) involves training machine learning models over distributed edge devices, which attracts sustained attention and has been extensiv…