47 citations · 79 across the 24 of their papers we have counts for
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cs.LG2024★ 1 cited
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen, Zhenyuan Li, Wei Ni +5
Federated learning (FL) is a viable technique to train a shared machine learning model without sharing data. Hierarchical FL (HFL) system has yet to be studied regrading its multip…
cs.LG2020★ 3 cited
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
S. Hu, X. Chen, W. Ni +2
Distributed machine learning (DML) techniques, such as federated learning, partitioned learning, and distributed reinforcement learning, have been increasingly applied to wireless…