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On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit., , , , и . ACSCC, стр. 1013-1017. IEEE, (2021)Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework., , , , , и . CoRR, (2020)Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 10997-11057. PMLR, (2022)Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity., , , , и . CoRR, (2019)High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise., , , , , и . CoRR, (2023)Correlation Aware Sparsified Mean Estimation Using Random Projection., , и . CoRR, (2023)Model Sparsity Can Simplify Machine Unlearning., , , , , , , и . NeurIPS, (2023)On noise-enhanced distributed inference in the presence of Byzantines., , , , , , и . Allerton, стр. 1222-1229. IEEE, (2011)On Decentralized Self-localization and Tracking Under Measurement Origin Uncertainty., , , и . FUSION, стр. 1-8. IEEE, (2019)Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations., , , , и . IEEE Trans. Signal Inf. Process. over Networks, (2021)