17 citations · 27 across the 8 of their papers we have counts for
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cs.LG2023
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks
Xin Liu, Wei li, Dazhi Zhan +4
Federated learning (FL) is a widely employed distributed paradigm for collaboratively training machine learning models from multiple clients without sharing local data. In practice…
cs.LG2023★ 1 cited
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks
Wei Tao, Lei Bao, Sheng Long +2
Learning adversarial examples can be formulated as an optimization problem of maximizing the loss function with some box-constraints. However, for solving this induced optimization…