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Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning.

, , , , and . CoRR, (2023)

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Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3478-3487. PMLR, (2019)Data-heterogeneity-aware Mixing for Decentralized Learning., , , and . CoRR, (2022)Efficient Greedy Coordinate Descent for Composite Problems., , , and . CoRR, (2018)Decentralized Local Stochastic Extra-Gradient for Variational Inequalities., , , , , and . CoRR, (2021)Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization., , and . CoRR, (2023)Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning., , , , and . CoRR, (2023)Decentralized Gradient Tracking with Local Steps., , , and . CoRR, (2023)Decentralized Deep Learning with Arbitrary Communication Compression., , , and . CoRR, (2019)Decentralized Deep Learning with Arbitrary Communication Compression., , , and . ICLR, OpenReview.net, (2020)Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 64-72. PMLR, (2024)