2 papers
cs.LG2024
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.LG2024
Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
Xin Liu, Wei Tao, Wei Li +3
Due to its simplicity and efficiency, the first-order gradient method has been extensively employed in training neural networks. Although the optimization problem of the neural net…