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On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit.

, , , , and . ACSCC, page 1013-1017. IEEE, (2021)

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Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework., , , , , and . CoRR, (2020)Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling., , , and . CoRR, (2022)On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit., , , , and . ACSCC, page 1013-1017. IEEE, (2021)Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations., , , , and . IEEE Trans. Signal Inf. Process. over Networks, (2021)On Decentralized Self-localization and Tracking Under Measurement Origin Uncertainty., , , and . FUSION, page 1-8. IEEE, (2019)STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning., , , , , , and . NeurIPS, page 6050-6061. (2021)What Is Missing in IRM Training and Evaluation? Challenges and Solutions., , , , , and . CoRR, (2023)FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning., , , and . CoRR, (2022)Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity., , , , and . CoRR, (2019)Correlation Aware Sparsified Mean Estimation Using Random Projection., , and . CoRR, (2023)