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Suhas Diggavi

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

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

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* 46 pages, 9 figures

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Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise

Feb 13, 2019
Mehrdad Showkatbakhsh, Can Karakus, Suhas Diggavi

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* A short version is published in ISIT 2018

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Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

Mar 14, 2018
Can Karakus, Yifan Sun, Suhas Diggavi, Wotao Yin

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* 39 pages, 14 figures. Submitted for publication

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Straggler Mitigation in Distributed Optimization Through Data Encoding

Jan 22, 2018
Can Karakus, Yifan Sun, Suhas Diggavi, Wotao Yin

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* appeared at NIPS 2017

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Approximate Nearest Neighbor Search through Comparisons

Sep 11, 2009
Dominique Tschopp, Suhas Diggavi

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* 19 pages, 4 figures

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