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Industrial Booth (Google)
Zheng Xu · Peter Kairouz
Author Information
Zheng Xu (Google Research)
Peter Kairouz (Google)
More from the Same Authors
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2021 : Neural Network-based Estimation of the MMSE »
Mario Diaz · Peter Kairouz · Lalitha Sankar -
2021 : Local Adaptivity in Federated Learning: Convergence and Consistency »
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2021 : The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
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2021 : On the Renyi Differential Privacy of the Shuffle Model »
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2021 : Practical and Private (Deep) Learning without Sampling orShuffling »
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2022 : Fair Universal Representations using Adversarial Models »
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2023 : Unleashing the Power of Randomization in Auditing Differentially Private ML »
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2023 : Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation »
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2023 : Federated Heavy Hitter Recovery under Linear Sketching »
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2023 : Can Public Large Language Models Help Private Cross-device Federated Learning? »
Boxin Wang · Yibo J. Zhang · Yuan Cao · Bo Li · Hugh B McMahan · Sewoong Oh · Zheng Xu · Manzil Zaheer -
2023 : Can Public Large Language Models Help Private Cross-device Federated Learning? »
Boxin Wang · Yibo J. Zhang · Yuan Cao · Bo Li · Hugh B McMahan · Sewoong Oh · Zheng Xu · Manzil Zaheer -
2023 : Panel Discussion »
Peter Kairouz · Song Han · Kamalika Chaudhuri · Florian Tramer -
2023 Workshop: Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities »
Zheng Xu · Peter Kairouz · Bo Li · Tian Li · John Nguyen · Jianyu Wang · Shiqiang Wang · Ayfer Ozgur -
2023 : Introduction and Opening Remarks »
Zheng Xu -
2023 Poster: Beyond Uniform Lipschitz Condition in Differentially Private Optimization »
Rudrajit Das · Satyen Kale · Zheng Xu · Tong Zhang · Sujay Sanghavi -
2023 Poster: Federated Heavy Hitter Recovery under Linear Sketching »
Adria Gascon · Peter Kairouz · Ziteng Sun · Ananda Suresh -
2023 Poster: On the Convergence of Federated Averaging with Cyclic Client Participation »
Yae Jee Cho · PRANAY SHARMA · Gauri Joshi · Zheng Xu · Satyen Kale · Tong Zhang -
2023 Poster: Private Federated Learning with Autotuned Compression »
Enayat Ullah · Christopher Choquette-Choo · Peter Kairouz · Sewoong Oh -
2023 Poster: Algorithms for bounding contribution for histogram estimation under user-level privacy »
Yuhan Liu · Ananda Suresh · Wennan Zhu · Peter Kairouz · Marco Gruteser -
2023 Tutorial: How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy »
Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu -
2022 Poster: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning »
Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh -
2022 Poster: The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation »
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2022 Spotlight: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning »
Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh -
2022 Oral: The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation »
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2021 : Industrial Panel »
Nathalie Baracaldo · Shiqiang Wang · Peter Kairouz · Zheng Xu · Kshitiz Malik · Tao Zhang -
2021 : Contributed Talks Session 1 »
Marika Swanberg · Samuel Haney · Peter Kairouz -
2021 Poster: Practical and Private (Deep) Learning Without Sampling or Shuffling »
Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu -
2021 Poster: The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
Peter Kairouz · Ziyu Liu · Thomas Steinke -
2021 Spotlight: The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
Peter Kairouz · Ziyu Liu · Thomas Steinke -
2021 Spotlight: Practical and Private (Deep) Learning Without Sampling or Shuffling »
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2020 Poster: Context Aware Local Differential Privacy »
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun