Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)

3 August 2020

Papers citing "Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)"

43 / 43 papers shown

Title
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 29 0 0 14 May 2025
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
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 52 0 0 02 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
On the Byzantine Fault Tolerance of signSGD with Majority Vote Emanuele Mengoli Luzius Moll Virgilio Strozzi El-Mahdi El-Mhamdi AAML FedML 67 0 0 26 Feb 2025
Resilient Peer-to-peer Learning based on Adaptive Aggregation Chandreyee Bhowmick Xenofon Koutsoukos 29 0 0 08 Jan 2025
Unified Breakdown Analysis for Byzantine Robust Gossip Renaud Gaucher Aymeric Dieuleveut Hadrien Hendrikx FedML AAML 34 1 0 14 Oct 2024
The poison of dimensionality Lê-Nguyên Hoang 36 2 0 25 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 44 5 0 02 Sep 2024
Byzantine-Robust Decentralized Federated Learning Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 46 18 0 14 Jun 2024
DSig: Breaking the Barrier of Signatures in Data Centers Marcos K. Aguilera Clément Burgelin R. Guerraoui Antoine Murat A. Xygkis I. Zablotchi 37 1 0 11 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
VALID: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence Mayank Bakshi Sara Ghasvarianjahromi Yauhen Yakimenka Allison Beemer O. Kosut Joerg Kliewer 37 0 0 12 May 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 33 0 0 06 May 2024
Delphi: Efficient Asynchronous Approximate Agreement for Distributed Oracles Akhil Bandarupalli Adithya Bhat S. Bagchi Aniket Kate Chen-Da Liu-Zhang Michael K. Reiter 157 4 0 03 May 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot AAML 27 1 0 01 May 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples Hyejin Park Jeongyeon Hwang Sunung Mun Sangdon Park Jungseul Ok AAML TTA OOD 37 5 0 28 Mar 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 45 1 0 25 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 57 1 0 19 Feb 2024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence Philip Jordan Florian Grötschla Flint Xiaofeng Fan Roger Wattenhofer FedML 36 2 0 07 Jan 2024
Byzantine Resilient Computing with the Cloud Songlin Wei Jiazhao Zhang Shachar Meir David Peleg Srikkanth Ramachandran He Wang 18 0 0 28 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
Improved Solutions for Multidimensional Approximate Agreement via Centroid Computation Mélanie Cambus Darya Melnyk FedML 25 1 0 22 Jun 2023
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search Andrei Kucharavy M. Monti R. Guerraoui Ljiljana Dolamic 40 1 0 20 Apr 2023
Can Decentralized Learning be more robust than Federated Learning? Mathilde Raynal Dario Pasquini Carmela Troncoso OOD FedML 38 4 0 07 Mar 2023
Adversarial Sampling for Fairness Testing in Deep Neural Network Tosin Ige William Marfo Justin Tonkinson Sikiru Adewale Bolanle Hafiz Matti OOD 26 9 0 06 Mar 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 27 13 0 13 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 39 49 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
Byzantine Spectral Ranking Arnhav Datar A. Rajkumar Jonathan C. Augustine 28 4 0 15 Nov 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 29 0 0 15 Oct 2022
On the Impossible Safety of Large AI Models El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui Nirupam Gupta L. Hoang Rafael Pinot Sébastien Rouault John Stephan 30 31 0 30 Sep 2022
Network-Level Adversaries in Federated Learning Giorgio Severi Matthew Jagielski Gokberk Yar Yuxuan Wang Alina Oprea Cristina Nita-Rotaru FedML 28 17 0 27 Aug 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 31 36 0 09 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
Asynchronous Fully-Decentralized SGD in the Cluster-Based Model Hagit Attiya N. Schiller FedML 25 0 0 22 Feb 2022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks Sadegh Farhadkhani R. Guerraoui L. Hoang Oscar Villemaud FedML 16 24 0 17 Feb 2022
Byzantine-Robust Decentralized Learning via ClippedGossip Lie He Sai Praneeth Karimireddy Martin Jaggi FedML 32 16 0 03 Feb 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
Strategyproof Learning: Building Trustworthy User-Generated Datasets Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 23 7 0 04 Jun 2021
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 29 138 0 16 Jun 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 29 5 0 02 Mar 2020