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Reducing the Communication Cost of Federated Learning through Multistage Optimization


Aug 16, 2021
Charlie Hou, Kiran K. Thekumparampil, Giulia Fanti, Sewoong Oh


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Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral


Jun 15, 2021
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui


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Sample Efficient Linear Meta-Learning by Alternating Minimization


May 18, 2021
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh


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SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics


Apr 22, 2021
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh

* 29 pages 19 figures 

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Robust and Differentially Private Mean Estimation


Feb 18, 2021
Xiyang Liu, Weihao Kong, Sham Kakade, Sewoong Oh

* 55 pages, 1 figure 

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Efficient Algorithms for Federated Saddle Point Optimization


Feb 12, 2021
Charlie Hou, Kiran K. Thekumparampil, Giulia Fanti, Sewoong Oh


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Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise


Feb 08, 2021
Xingyu Wang, Sewoong Oh, Chang-Han Rhee

* 14 Pages, 5 figures 

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Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method


Oct 05, 2020
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh


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Deepcode and Modulo-SK are Designed for Different Settings


Aug 18, 2020
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath


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Robust Meta-learning for Mixed Linear Regression with Small Batches


Jun 18, 2020
Weihao Kong, Raghav Somani, Sham Kakade, Sewoong Oh

* 52 pages, 2 figures 

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