3 citations · 6 across the 8 of their papers we have counts for
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cs.LG2023★ 1 cited
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning
Cheng Yang, Xue Yang, Dongxian Wu +1
Communication overhead is one of the major challenges in Federated Learning(FL). A few classical schemes assume the server can extract the auxiliary information about training data…
cs.CR2023★ 3 cited
An Efficient and Multi-private Key Secure Aggregation for Federated Learning
Xue Yang, Zifeng Liu, Xiaohu Tang +2
With the emergence of privacy leaks in federated learning, secure aggregation protocols that mainly adopt either homomorphic encryption or threshold secret sharing have been widely…