More from the Same Authors

• 2021 : Neural Network-based Estimation of the MMSE »
  Mario Diaz · Peter Kairouz · Lalitha Sankar
• 2021 : Local Adaptivity in Federated Learning: Convergence and Consistency »
  Jianyu Wang · Zheng Xu · Luyang Liu
• 2021 : The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 : On the Renyi Differential Privacy of the Shuffle Model »
  Antonious Girgis · Deepesh Data · Suhas Diggavi · Ananda Theertha Suresh · Peter Kairouz
• 2021 : Practical and Private (Deep) Learning without Sampling orShuffling »
  Peter Kairouz · Hugh B McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2022 : Fair Universal Representations using Adversarial Models »
  Monica Welfert · Peter Kairouz · Jiachun Liao · Chong Huang · Lalitha Sankar
• 2023 : Unleashing the Power of Randomization in Auditing Differentially Private ML »
  Krishna Pillutla · Galen Andrew · Peter Kairouz · Hugh B McMahan · Alina Oprea · Sewoong Oh
• 2023 : Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation »
  Wei-Ning Chen · Dan Song · Ayfer Ozgur · Peter Kairouz
• 2023 : Federated Heavy Hitter Recovery under Linear Sketching »
  Adria Gascon · Peter Kairouz · Ziteng Sun · Ananda Suresh
• 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 »
  Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
• 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 »
  Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
• 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 »
  Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2020 Poster: Context Aware Local Differential Privacy »
  Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun