354 citations · 1.4k across the 34 of their papers we have counts for
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cs.DC2026
Understanding Communication Backends in Cross-Silo Federated Learning
Amir Ziashahabi, Chaoyang He, Salman Avestimehr
Federated learning (FL) has emerged as a practical means for privacy-preserving distributed machine learning. FL's versatile design makes it suitable for various training settings,…
cs.DC2023★ 1 cited
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
Jiaqi Shao, Shanshan Han, Chaoyang He +1
Federated heavy-hitter analytics involves the identification of the most frequent items within distributed data. Existing methods for this task often encounter challenges such as c…