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Gauri Joshi

Job Dispatching Policies for Queueing Systems with Unknown Service Rates


Jun 10, 2021
Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai

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Local Adaptivity in Federated Learning: Convergence and Consistency


Jun 04, 2021
Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi

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Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning


Feb 08, 2021
Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar

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* Accepted to ICASSP 2021 
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Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning


Dec 14, 2020
Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yağan

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Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies


Oct 03, 2020
Yae Jee Cho, Jianyu Wang, Gauri Joshi

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Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning


Jul 18, 2020
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, T. Yong-Jin Han

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Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization


Jul 15, 2020
Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor

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Slow and Stale Gradients Can Win the Race


Mar 23, 2020
Sanghamitra Dutta, Jianyu Wang, Gauri Joshi

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* Some of the results have appeared in AISTATS 2018. This is an extended version with additional results, in particular, an adaptive synchronicity strategy called AdaSync. arXiv admin note: substantial text overlap with arXiv:1803.01113 
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Machine Learning on Volatile Instances


Mar 12, 2020
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong

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Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD


Feb 21, 2020
Jianyu Wang, Hao Liang, Gauri Joshi

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* Accepted to ICASSP 2020 
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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

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Multi-Armed Bandits with Correlated Arms


Dec 03, 2019
Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yağan

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* arXiv admin note: text overlap with arXiv:1808.05904 A special case of the model studied in this paper is presented in arXiv:1808.05904 
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Deep Probabilistic Kernels for Sample-Efficient Learning


Oct 13, 2019
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, T. Yong-Jin Han

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Accelerating Deep Learning by Focusing on the Biggest Losers


Oct 02, 2019
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminksy, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai

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MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling


May 23, 2019
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar

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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms


Oct 19, 2018
Jianyu Wang, Gauri Joshi

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Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD


Oct 19, 2018
Jianyu Wang, Gauri Joshi

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Exploiting Correlation in Finite-Armed Structured Bandits


Oct 18, 2018
Samarth Gupta, Gauri Joshi, Osman Yağan

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Correlated Multi-armed Bandits with a Latent Random Source


Aug 17, 2018
Samarth Gupta, Gauri Joshi, Osman Yağan

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Active Distribution Learning from Indirect Samples


Aug 16, 2018
Samarth Gupta, Gauri Joshi, Osman Yağan

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* Allerton Conference on Communication, Control and Computing, 2018 
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Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD


May 09, 2018
Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar

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* Single Column Version, 33 pages, 14 figures, Accepted at AISTATS 2018 
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