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Peter Kairouz

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Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation

Jan 13, 2022
Jiang Zhang, Lillian Clark, Matthew Clark, Konstantinos Psounis, Peter Kairouz

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Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation

Nov 03, 2021
Eugene Bagdasaryan, Peter Kairouz, Stefan Mellem, Adrià Gascón, Kallista Bonawitz, Deborah Estrin, Marco Gruteser

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Optimal Compression of Locally Differentially Private Mechanisms

Oct 29, 2021
Abhin Shah, Wei-Ning Chen, Johannes Balle, Peter Kairouz, Lucas Theis

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The Skellam Mechanism for Differentially Private Federated Learning

Oct 29, 2021
Naman Agarwal, Peter Kairouz, Ziyu Liu

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Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning

Aug 23, 2021
Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage

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A Field Guide to Federated Optimization

Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

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Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints

Jun 16, 2021
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür

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On the Renyi Differential Privacy of the Shuffle Model

May 11, 2021
Antonious M. Girgis, Deepesh Data, Suhas Diggavi, Ananda Theertha Suresh, Peter Kairouz

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Practical and Private (Deep) Learning without Sampling or Shuffling

Feb 26, 2021
Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu

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