DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

29 July 2019

Shashank Rajput

Hongyi Wang

Zachary B. Charles

Dimitris Papailiopoulos

FedML

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Papers citing "DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation"

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Title
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Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 42 2 0 26 Sep 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 50 2 0 09 Jul 2024
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning Yujing Wang Hainan Zhang Sijia Wen Wangjie Qiu Binghui Guo AAML 30 0 0 20 Jun 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee Yungi Cho Woorim Han Ho Bae Y. Paek FedML AAML 27 2 0 05 Mar 2024
Interactive Byzantine-Resilient Gradient Coding for General Data Assignments Shreyas Jain Luis Maßny Christoph Hofmeister Eitan Yaakobi Rawad Bitar 23 0 0 30 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 39 2 0 02 Jan 2024
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 55 33 0 14 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 45 5 0 15 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 32 0 0 25 Sep 2023
On the Optimal Batch Size for Byzantine-Robust Distributed Learning Yi-Rui Yang Chang-Wei Shi Wu-Jun Li FedML AAML 27 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 42 3 0 09 Mar 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 23 53 0 14 Feb 2023
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization Hamidreza Almasi Harshit Mishra Balajee Vamanan Sathya Ravi FedML 22 0 0 12 Feb 2023
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 22 1 0 24 Nov 2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks Guanqiang Zhou Ping Xu Yue Wang Zhi Tian OOD FedML 33 4 0 29 Oct 2022
Detection and Mitigation of Byzantine Attacks in Distributed Training Konstantinos Konstantinidis Namrata Vaswani Aditya Ramamoorthy AAML 29 0 0 17 Aug 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
Hierarchical Federated Learning with Privacy Varun Chandrasekaran Suman Banerjee Diego Perino N. Kourtellis FedML 38 8 0 10 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 19 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 31 67 0 24 May 2022
Over-The-Air Federated Learning under Byzantine Attacks Houssem Sifaou Geoffrey Ye Li OOD FedML 35 7 0 05 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 27 7 0 05 May 2022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 26 108 0 16 Mar 2022
Byzantine-Robust Decentralized Learning via ClippedGossip Lie He Sai Praneeth Karimireddy Martin Jaggi FedML 38 16 0 03 Feb 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
EIFFeL: Ensuring Integrity for Federated Learning A. Chowdhury Chuan Guo S. Jha L. V. D. van der Maaten FedML 77 73 0 23 Dec 2021
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 41 10 0 08 Nov 2021
Robust Federated Learning via Over-The-Air Computation Houssem Sifaou Geoffrey Ye Li FedML 11 18 0 01 Nov 2021
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Leshang Chen Hongyi Wang S. Davidson Yan Sun FedML 37 1 0 04 Oct 2021
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering Jian Xu Shao-Lun Huang Linqi Song Tian-Shing Lan FedML AAML 37 42 0 13 Sep 2021
Aspis: Robust Detection for Distributed Learning Konstantinos Konstantinidis A. Ramamoorthy AAML 20 5 0 05 Aug 2021
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning Ting-long Tang Ramy E. Ali H. Hashemi Tynan Gangwani A. Avestimehr M. Annavaram 54 13 0 27 Jul 2021
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning Kamala Varma Yi Zhou Nathalie Baracaldo Ali Anwar FedML 23 16 0 26 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 37 55 0 07 Jul 2021
Secure Distributed Training at Scale Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 26 15 0 21 Jun 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 53 13 0 16 Jun 2021
On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 30 18 0 04 Jun 2021
Robust Federated Learning with Attack-Adaptive Aggregation Ching Pui Wan Qifeng Chen OOD FedML 25 30 0 10 Feb 2021
Provably Secure Federated Learning against Malicious Clients Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong FedML 21 134 0 03 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 612 0 27 Dec 2020
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 173 0 18 Dec 2020
Better scalability under potentially heavy-tailed feedback Matthew J. Holland 12 1 0 14 Dec 2020
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things Yi Liu Ruihui Zhao Jiawen Kang A. Yassine Dusit Niyato Jia-Jie Peng FedML 69 35 0 08 Dec 2020
Garfield: System Support for Byzantine Machine Learning R. Guerraoui Arsany Guirguis El-Mahdi El-Mhamdi Anton Alexandre Ragot Sébastien Rouault FedML 18 2 0 12 Oct 2020
ByzShield: An Efficient and Robust System for Distributed Training Konstantinos Konstantinidis A. Ramamoorthy AAML FedML 32 11 0 10 Oct 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 33 144 0 08 Sep 2020
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE) Nirupam Gupta Shuo Liu Nitin H. Vaidya FedML 18 11 0 11 Aug 2020