More from the Same Authors

• 2021 : Local Adaptivity in Federated Learning: Convergence and Consistency »
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• 2021 : Industrial Booth (Google) »
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• 2023 : Can Public Large Language Models Help Private Cross-device Federated Learning? »
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• 2023 : Can Public Large Language Models Help Private Cross-device Federated Learning? »
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• 2023 Workshop: Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities »
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• 2023 Poster: Beyond Uniform Lipschitz Condition in Differentially Private Optimization »
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• 2023 Poster: On the Convergence of Federated Averaging with Cyclic Client Participation »
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• 2023 Tutorial: How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy »
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• 2021 : Industrial Panel »
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• 2021 Poster: Practical and Private (Deep) Learning Without Sampling or Shuffling »
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• 2021 Spotlight: Practical and Private (Deep) Learning Without Sampling or Shuffling »
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