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On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms, , and . (Aug 27, 2019)A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning., , , and . J. Mach. Learn. Res., (2020)Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization., , , and . SIAM J. Optim., 30 (4): 3315-3344 (2020)An Accelerated Gradient Method for Simple Bilevel Optimization with Convex Lower-level Problem., , , and . CoRR, (2024)Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy., , , , , , and . CoRR, (2018)Straggler-Resilient Personalized Federated Learning., , , , and . CoRR, (2022)High-Dimensional Nonconvex Stochastic Optimization by Doubly Stochastic Successive Convex Approximation., and . IEEE Trans. Signal Process., (2020)Stochastic Quasi-Newton Methods., and . Proc. IEEE, 108 (11): 1906-1922 (2020)FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2021-2031. PMLR, (2020)Distribution-Agnostic Model-Agnostic Meta-Learning., , and . CoRR, (2020)