Byzantine-Resilient Non-Convex Stochastic Gradient Descent

28 December 2020

Dan Alistarh

Papers citing "Byzantine-Resilient Non-Convex Stochastic Gradient Descent"

46 / 46 papers shown

Title
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 42 0 0 12 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 66 0 0 03 May 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 40 0 0 03 Feb 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML T. Dahan Kfir Y. Levy 75 0 0 17 Jan 2025
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization Youpeng Li Xuben Wang Fuxun Yu Lichao Sun Wenbin Zhang Xuyu Wang FedML 166 0 0 16 Oct 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 58 3 0 16 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 49 0 0 09 Aug 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training T. Dahan Kfir Y. Levy 53 1 0 23 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taiani FedML 27 3 0 23 May 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 71 1 0 15 Mar 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot Geovani Rizk S. Voitovych FedML 35 4 0 20 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 62 1 0 19 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers Ron Dorfman Naseem Yehya Kfir Y. Levy 32 2 0 05 Feb 2024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence Philip Jordan Florian Grötschla Flint Xiaofeng Fan Roger Wattenhofer FedML 39 2 0 07 Jan 2024
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers Yuhao Yi R. You Hong Liu Changxin Liu Yuan Wang Jiancheng Lv OOD 32 3 0 20 Dec 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 50 5 0 15 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 39 0 0 25 Sep 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot Geovani Rizk OOD 34 15 0 24 Sep 2023
SABLE: Secure And Byzantine robust LEarning Antoine Choffrut R. Guerraoui Rafael Pinot Renaud Sirdey John Stephan Martin Zuber AAML 44 2 0 11 Sep 2023
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture Qi Li Zhuotao Liu Qi Li Ke Xu 22 13 0 03 Sep 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 41 11 0 29 May 2023
On the Optimal Batch Size for Byzantine-Robust Distributed Learning Yi-Rui Yang Chang-Wei Shi Wu-Jun Li FedML AAML 32 0 0 23 May 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 52 3 0 09 Mar 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 34 13 0 13 Feb 2023
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization Hamidreza Almasi Harshit Mishra Balajee Vamanan Sathya Ravi FedML 27 0 0 12 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 26 21 0 09 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 45 50 0 03 Feb 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 27 0 0 16 Jan 2023
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 27 1 0 24 Nov 2022
Robust Collaborative Learning with Linear Gradient Overhead Sadegh Farhadkhani R. Guerraoui Nirupam Gupta L. Hoang Rafael Pinot John Stephan FedML 33 15 0 22 Sep 2022
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks Ali Ramezani-Kebrya Iman Tabrizian Fartash Faghri P. Popovski AAML FedML 24 6 0 16 Jul 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 55 18 0 24 Jun 2022
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top Eduard A. Gorbunov Samuel Horváth Peter Richtárik Gauthier Gidel AAML 21 0 0 01 Jun 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 36 67 0 24 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
Byzantine-Robust Decentralized Learning via ClippedGossip Lie He Sai Praneeth Karimireddy Martin Jaggi FedML 38 16 0 03 Feb 2022
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming Sachin Konan Esmaeil Seraj Matthew C. Gombolay LRM 6 27 0 20 Jan 2022
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Wei Jing Cheston Tan K. H. Low FedML AI4CE 21 78 0 26 Oct 2021
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering Jian Xu Shao-Lun Huang Linqi Song Tian-Shing Lan FedML AAML 39 43 0 13 Sep 2021
Efficient Byzantine-Resilient Stochastic Gradient Desce Kaiyun Li Xiaojun Chen Ye Dong Peng Zhang Dakui Wang Shuai Zeng 15 0 0 15 Aug 2021
Secure Distributed Training at Scale Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 26 15 0 21 Jun 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning Feng-Shih Lin Weiyu Li Qing Ling FedML 28 6 0 13 Jun 2021
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 174 0 18 Dec 2020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 29 139 0 16 Jun 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 31 5 0 02 Mar 2020
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 137 35 0 26 Apr 2018