32 citations · 54 across the 16 of their papers we have counts for
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cs.LG2025
Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders
Kai Li, Shuyan Hu, Bochun Wu +3
EdgeIoT represents an approach that brings together mobile edge computing with Internet of Things (IoT) devices, allowing for data processing close to the data source. Sending sour…
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…