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Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap., , and . CoRR, (2017)IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate., , and . CoRR, (2017)Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method., , and . CoRR, (2017)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)A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization., , and . IEEE Trans. Signal Process., 67 (23): 5983-5997 (2019)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)