33 citations · 85 across the 12 of their papers we have counts for
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cs.LG2023
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
Haoxiang Ye, Heng Zhu, Qing Ling
This paper jointly considers privacy preservation and Byzantine-robustness in decentralized learning. In a decentralized network, honest-but-curious agents faithfully follow the pr…
cs.LG2022★ 4 cited
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
Hanxiong Chen, Yunqi Li, He Zhu +1
Human intelligence is able to first learn some basic skills for solving basic problems and then assemble such basic skills into complex skills for solving complex or new problems.…
cs.LG2021★ 17 cited
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Heng Zhu, Qing Ling
Communication between workers and the master node to collect local stochastic gradients is a key bottleneck in a large-scale federated learning system. Various recent works have pr…