Robust Distributed Learning: Tight Error Bounds and Breakdown Point
under Data Heterogeneity

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

24 September 2023

Youssef Allouah

Papers citing "Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity"

16 / 16 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 35 0 0 12 May 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework Yacine Belal Mohamed Maouche Sonia Ben Mokhtar Anthony Simonet-Boulogne 39 0 0 24 Apr 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 152 0 0 11 Mar 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 48 0 0 21 Jan 2025
Unified Breakdown Analysis for Byzantine Robust Gossip Renaud Gaucher Aymeric Dieuleveut Hadrien Hendrikx FedML AAML 27 1 0 14 Oct 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah Abdellah El Mrini R. Guerraoui Nirupam Gupta Rafael Pinot FedML 32 0 0 30 Sep 2024
The poison of dimensionality Lê-Nguyên Hoang 33 2 0 25 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 44 4 0 02 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 1 0 16 Aug 2024
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning Chenyuan Wu Haoyun Qin Mohammad Javad Amiri B. T. Loo Dahlia Malkhi Ryan Marcus 26 0 0 12 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 44 0 0 09 Aug 2024
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 26 2 0 22 Dec 2023
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
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021
Approximate Byzantine Fault-Tolerance in Distributed Optimization Shuo Liu Nirupam Gupta Nitin H. Vaidya 28 42 0 22 Jan 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016