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Distributed Distributionally Robust Optimization with Non-Convex Objectives

14 October 2022

Papers citing "Distributed Distributionally Robust Optimization with Non-Convex Objectives"

27 / 27 papers shown

Title
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Hui Ma Kai Yang Yang Jiao OOD 190 1 0 25 May 2025
Learning Distributionally Robust Models at Scale via Composite Optimization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi Amin Karbasi OOD 51 5 0 17 Mar 2022
Asynchronous Stochastic Optimization Robust to Arbitrary Delays Alon Cohen Amit Daniely Yoel Drori Tomer Koren Mariano Schain 77 33 0 22 Jun 2021
Distributionally Robust Federated Averaging Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 53 142 0 25 Feb 2021
Federated Reconstruction: Partially Local Federated Learning K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 67 143 0 05 Feb 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning Syed Zawad Ahsan Ali Pin-Yu Chen Ali Anwar Yi Zhou Nathalie Baracaldo Yuan Tian Feng Yan FedML 43 55 0 01 Feb 2021
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy Y. Carmon John C. Duchi Aaron Sidford 78 217 0 12 Oct 2020
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi Zhishuai Guo Yi Tian Xu Rong Jin Tianbao Yang 85 47 0 17 Jun 2020
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems Zi Xu Hui-Li Zhang Yang Xu Guanghui Lan 85 100 0 03 Jun 2020
Robustness analytics to data heterogeneity in edge computing Jia Qian Lars Kai Hansen Xenofon Fafoutis Prayag Tiwari Hari Mohan Pandey FedML 41 4 0 12 Feb 2020
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 65 347 0 14 Oct 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients Jun Sun Tianyi Chen G. Giannakis Zaiyue Yang 64 95 0 17 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 64 395 0 23 Aug 2019
Efficient Algorithms for Smooth Minimax Optimization K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 92 191 0 02 Jul 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 126 508 0 02 Jun 2019
A backdoor attack against LSTM-based text classification systems Jiazhu Dai Chuanshuai Chen SILM 83 329 0 29 May 2019
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications Songtao Lu Ioannis C. Tsaknakis Mingyi Hong Yongxin Chen 72 171 0 21 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 136 937 0 01 Feb 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 63 423 0 20 Oct 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,928 0 02 Jul 2018
Robust Optimization over Multiple Domains Qi Qian Shenghuo Zhu Jiasheng Tang Rong Jin Baigui Sun Hao Li OOD 74 71 0 19 May 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 71 1,658 0 20 Nov 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 249 3,224 0 15 Jun 2016
Quantifying Distributional Model Risk via Optimal Transport Jose H. Blanchet Karthyek Murthy 78 426 0 05 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis Tsung-Hui Chang Mingyi Hong Wei-Cheng Liao Xiangfeng Wang 43 200 0 09 Sep 2015