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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning


Jun 07, 2021
Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr


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On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks


Nov 11, 2020
Ramy E. Ali, Jinhyun So, A. Salman Avestimehr


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A Scalable Approach for Privacy-Preserving Collaborative Machine Learning


Nov 03, 2020
Jinhyun So, Basak Guler, A. Salman Avestimehr


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FedML: A Research Library and Benchmark for Federated Machine Learning


Jul 27, 2020
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

* We maintain the source code, documents, and user community at https://fedml.ai 

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Byzantine-Resilient Secure Federated Learning


Jul 21, 2020
Jinhyun So, Basak Guler, A. Salman Avestimehr

* 17 pages, 4 figures 

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Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning


Feb 11, 2020
Jinhyun So, Basak Guler, A. Salman Avestimehr

* 19 pages, 8 figures 

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CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning


Feb 02, 2019
Jinhyun So, Basak Guler, A. Salman Avestimehr, Payman Mohassel

* 14 pages, 5 figures 

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Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy


Jun 13, 2018
Qian Yu, Netanel Raviv, Jinhyun So, A. Salman Avestimehr

* Equal contribution from first two authors 

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