Smoothed Gradient Method for Nonconvex Federated Stochastic Bilevel Optimization
In recent years, federated stochastic bilevel optimization has attracted increasing attention due to its wide range of applications in machine learning. To reduce the computational overhead associated with second-order Hessian and Jacobian matrices, several first-order methods have been proposed. However, existing meth...
Xinwen Zhang, Pei-Ran Yu, Zhao-Song Lu et al.
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