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Iterated Vector Fields and Conservatism, with Applications to Federated Learning.

, and . ALT, volume 167 of Proceedings of Machine Learning Research, page 130-147. PMLR, (2022)

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Federated Reconstruction: Partially Local Federated Learning., , , , , and . CoRR, (2021)Iterated Vector Fields and Conservatism, with Applications to Federated Learning., and . CoRR, (2021)Does Federated Dropout actually work?, , , and . CVPR Workshops, page 3386-3394. IEEE, (2022)Federated Automatic Differentiation., , and . CoRR, (2023)Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning., , , and . CoRR, (2022)Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning., , , and . CoRR, (2020)(Nearly) Dimension Independent Private ERM with AdaGrad Ratesvia Publicly Estimated Subspaces., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 2717-2746. PMLR, (2021)Adaptive Federated Optimization., , , , , , , and . CoRR, (2020)Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning., , , , and . CoRR, (2023)Iterated Vector Fields and Conservatism, with Applications to Federated Learning., and . ALT, volume 167 of Proceedings of Machine Learning Research, page 130-147. PMLR, (2022)