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Federated Learning with Autotuned Communication-Efficient Secure Aggregation.

, , , , and . ACSSC, page 1222-1226. IEEE, (2019)

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Federated Heavy Hitters Discovery with Differential Privacy., , , , and . CoRR, (2019)Communication-Efficient Learning of Deep Networks from Decentralized Data., , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1273-1282. PMLR, (2017)Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning., , , , and . CoRR, (2022)Towards Federated Learning at Scale: System Design., , , , , , , , , and 4 other author(s). MLSys, mlsys.org, (2019)Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization., , , , and . NeurIPS, page 8505-8515. (2018)Federated Optimization: Distributed Optimization Beyond the Datacenter., , and . CoRR, (2015)Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning., , , , and . CoRR, (2023)Privacy Amplification via Random Check-Ins., , , , and . NeurIPS, (2020)cpSGD: Communication-efficient and differentially-private distributed SGD., , , , and . NeurIPS, page 7575-7586. (2018)Practical and Private (Deep) Learning Without Sampling or Shuffling., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5213-5225. PMLR, (2021)