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Secure Aggregation for Buffered Asynchronous Federated Learning


Oct 05, 2021
Jinhyun So, Ramy E. Ali, Başak Güler, A. Salman Avestimehr


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ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems


Sep 20, 2021
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr


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List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier


Jan 27, 2021
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. 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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Analog Lagrange Coded Computing


Aug 19, 2020
Mahdi Soleymani, Hessam Mahdavifar, A. Salman Avestimehr


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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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Privacy-Preserving Distributed Learning in the Analog Domain


Jul 17, 2020
Mahdi Soleymani, Hessam Mahdavifar, A. Salman Avestimehr


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Coded Computing for Federated Learning at the Edge


Jul 14, 2020
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz, A. Salman Avestimehr, Nageen Himayat

* Work accepted for presentation at the International Workshop on Federated Learning for User Privacy and Data Confidentiality, in Conjunction with ICML 2020 (FL-ICML'20). This work was part of Saurav Prakash's internship projects at Intel 

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Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks


Jun 16, 2020
Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, A. Salman Avestimehr, Mahdi Soltanolkotabi


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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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Fitting ReLUs via SGD and Quantized SGD


Jan 19, 2019
Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, A. Salman Avestimehr


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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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Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding


May 24, 2018
Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, A. Salman Avestimehr


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Fundamental Resource Trade-offs for Encoded Distributed Optimization


Mar 31, 2018
A. Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi


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Coded Fourier Transform


Oct 17, 2017
Qian Yu, Mohammad Ali Maddah-Ali, A. Salman Avestimehr


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Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches


May 18, 2016
Eyal En Gad, Akshay Gadde, A. Salman Avestimehr, Antonio Ortega

* In ICASSP 2016 

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Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning


Feb 14, 2015
Aamir Anis, Aly El Gamal, A. Salman Avestimehr, Antonio Ortega

* To appear in ICASSP 2015, 5 pages, 3 figures 

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