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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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On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines., , , and . ICASSP, page 3137-3141. IEEE, (2020)On Sequential Random Distortion Testing of Non-Stationary Processes., , , and . ICASSP, page 3944-3948. IEEE, (2018)A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization., , , , , and . CoRR, (2021)Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization., , , , , and . CoRR, (2021)An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems., , and . ICASSP, page 5438-5442. IEEE, (2022)FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 32304-32330. PMLR, (2023)FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime., , and . ACSSC, page 607-613. IEEE, (2023)Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations., , , and . CoRR, (2019)Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks., , , , and . IEEE Signal Process. Lett., (2021)An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning., , , , , and . CoRR, (2023)