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QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning


Jul 29, 2021
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas Diggavi

* arXiv admin note: substantial text overlap with arXiv:2102.11786 

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Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning


Jul 19, 2021
Antonious M. Girgis, Deepesh Data, Suhas Diggavi

* arXiv admin note: text overlap with arXiv:2105.05180 

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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 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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QuPeL: Quantized Personalization with Applications to Federated Learning


Feb 23, 2021
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas Diggavi


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Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs


Aug 17, 2020
Antonious M. Girgis, Deepesh Data, Suhas Diggavi, Peter Kairouz, Ananda Theertha Suresh


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Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data


Jun 22, 2020
Deepesh Data, Suhas Diggavi

* 31 pages. arXiv admin note: text overlap with arXiv:2005.07866 

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Successive Refinement of Privacy


May 24, 2020
Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas Diggavi


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Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data


May 16, 2020
Deepesh Data, Suhas Diggavi

* 57 pages, 2 figures 

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SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization


May 13, 2020
Navjot Singh, Deepesh Data, Jemin George, Suhas Diggavi

* 52 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:1910.14280 

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SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization


Oct 31, 2019
Navjot Singh, Deepesh Data, Jemin George, Suhas Diggavi

* 41 pages, 4 figures 

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Data Encoding for Byzantine-Resilient Distributed Optimization


Jul 05, 2019
Deepesh Data, Linqi Song, Suhas Diggavi

* 30 pages, 5 figures 

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Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations


Jun 06, 2019
Debraj Basu, Deepesh Data, Can Karakus, Suhas Diggavi

* 46 pages, 9 figures 

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