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Private Domain Adaptation from a Public Source


Aug 12, 2022
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh


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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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Differentially Private Learning with Margin Guarantees


Apr 21, 2022
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh


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Correlated quantization for distributed mean estimation and optimization


Mar 09, 2022
Ananda Theertha Suresh, Ziteng Sun, Jae Hun Ro, Felix Yu


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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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Robust Estimation for Random Graphs


Nov 09, 2021
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang


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HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation


Oct 28, 2021
Wittawat Jitkrittum, Michal Lukasik, Ananda Theertha Suresh, Felix Yu, Gang Wang


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FedJAX: Federated learning simulation with JAX


Aug 04, 2021
Jae Hun Ro, Ananda Theertha Suresh, Ke Wu


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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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On the benefits of maximum likelihood estimation for Regression and Forecasting


Jun 18, 2021
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh


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