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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)Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap., , and . CoRR, (2017)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)Decentralized double stochastic averaging gradient., and . ACSSC, page 406-410. IEEE, (2015)Doubly stochastic algorithms for large-scale optimization., , and . ACSSC, page 1705-1709. IEEE, (2016)An incremental quasi-Newton method with a local superlinear convergence rate., , and . ICASSP, page 4039-4043. IEEE, (2017)Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation., , , and . ICASSP, page 4701-4705. IEEE, (2017)Distribution-Agnostic Model-Agnostic Meta-Learning., , and . CoRR, (2020)A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization., , and . IEEE Trans. Signal Process., 67 (23): 5983-5997 (2019)