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Histogram Estimation under User-level Privacy with Heterogeneous Data


Jun 07, 2022
Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser

* 21 pages, 4 figures 

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The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning


Mar 07, 2022
Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh


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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

* Paper published in NeurIPS 2021 

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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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