Abstract: The bounded variance, gradient Lipschitz, and unbiased stochastic gradient are three key assumptions for ensuring the convergence and generalization of stochastic methods, especially in ...

BHerd: Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients Abstract: In the domain of computer architecture, Federated Learning (FL) is a paradigm of distributed machine ...