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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)"

50 / 50 papers shown

Title
Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints Tsuyoshi Okita AI4CE 70 0 0 09 Oct 2025
SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening Murtaza Rangwala Farag Azzedin Richard O. Sinnott Rajkumar Buyya FedML AAML 63 0 0 09 Oct 2025
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Kaoru Otsuka Yuki Takezawa Makoto Yamada FedML 107 1 0 03 Sep 2025
Centroid Approximation for Byzantine-Tolerant Federated Learning Mélanie Cambus Darya Melnyk Tijana Milentijević Stefan Schmid FedML 150 1 0 18 Jun 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Maximilian Egger Rawad Bitar 214 0 0 11 Jun 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 220 1 0 19 May 2025
Toward Malicious Clients Detection in Federated LearningACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 281 2 0 14 May 2025
Bant: Byzantine Antidote via Trial Function and Trust Scores Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 469 1 0 12 May 2025
Approximate Agreement Algorithms for Byzantine Collaborative LearningACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2025 Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 323 1 0 02 Apr 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment InspectionComputer Vision and Pattern Recognition (CVPR), 2025 Jiahao Xu Zikai Zhang Rui Hu AAML FedML 483 10 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 279 1 0 26 Feb 2025
A Case for Specialisation in Non-Human Entities El-Mahdi El-Mhamdi Lê Nguyên Hoang Mariame Tighanimine 118 0 0 05 Feb 2025
Resilient Peer-to-peer Learning based on Adaptive AggregationInternational Symposium on Distributed Computing and Artificial Intelligence (DCAI), 2025 Chandreyee Bhowmick Xenofon Koutsoukos 134 0 0 08 Jan 2025
Unified Breakdown Analysis for Byzantine Robust Gossip Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut FedML AAML 340 3 0 14 Oct 2024
The poison of dimensionality Lê-Nguyên Hoang 225 3 0 25 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model AggregationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Jiahao Xu Zikai Zhang Rui Hu 209 10 0 02 Sep 2024
Byzantine-Robust Decentralized Federated LearningConference on Computer and Communications Security (CCS), 2024 Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 251 49 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 217 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 260 2 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 135 0 0 12 May 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Aymeric Dieuleveut Hadrien Hendrikx AAML 233 2 0 06 May 2024
Delphi: Efficient Asynchronous Approximate Agreement for Distributed OraclesDependable Systems and Networks (DSN), 2024 Akhil Bandarupalli Adithya Bhat S. Bagchi Aniket Kate Chen-Da Liu-Zhang Michael K. Reiter 786 8 0 03 May 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot AAML 204 2 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 189 7 0 28 Mar 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 160 3 0 25 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 284 2 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 133 4 0 07 Jan 2024
Byzantine Resilient Computing with the Cloud Songlin Wei JIazhao Zhang Shachar Meir David Peleg Srikkanth Ramachandran He Wang 138 1 0 28 Sep 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data HeterogeneityNeural Information Processing Systems (NeurIPS), 2023 Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot Geovani Rizk OOD 212 24 0 24 Sep 2023
Improved Solutions for Multidimensional Approximate Agreement via Centroid Computation Mélanie Cambus Darya Melnyk FedML 183 3 0 22 Jun 2023
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search Andrei Kucharavy M. Monti R. Guerraoui Ljiljana Dolamic 120 1 0 20 Apr 2023
Can Decentralized Learning be more robust than Federated Learning? Mathilde Raynal Dario Pasquini Carmela Troncoso OOD FedML 234 5 0 07 Mar 2023
Adversarial Sampling for Fairness Testing in Deep Neural NetworkInternational Journal of Advanced Computer Science and Applications (IJACSA), 2023 Tosin Ige William Marfo Justin Tonkinson Sikiru Adewale Bolanle Hafiz Matti OOD 111 9 0 06 Mar 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient SplittingInternational Conference on Machine Learning (ICML), 2023 Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 173 18 0 13 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under HeterogeneityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 251 72 0 03 Feb 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 118 0 0 16 Jan 2023
Byzantine Spectral RankingNeural Information Processing Systems (NeurIPS), 2022 Arnhav Datar A. Rajkumar Jonathan C. Augustine 125 6 0 15 Nov 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 92 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 277 37 0 30 Sep 2022
Network-Level Adversaries in Federated LearningIEEE Conference on Communications and Network Security (IEEE CNS), 2022 Giorgio Severi Matthew Jagielski Gokberk Yar Yuxuan Wang Alina Oprea Cristina Nita-Rotaru FedML 114 18 0 27 Aug 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation RulesIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Zhaoxian Wu Tianyi Chen Qing Ling 249 54 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 231 0 0 01 Jun 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of MomentumsInternational Conference on Machine Learning (ICML), 2022 Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 186 86 0 24 May 2022
Asynchronous Fully-Decentralized SGD in the Cluster-Based ModelInternational/Italian Conference on Algorithms and Complexity (IAC), 2022 Hagit Attiya N. Schiller FedML 244 1 0 22 Feb 2022
An Equivalence Between Data Poisoning and Byzantine Gradient AttacksInternational Conference on Machine Learning (ICML), 2022 Sadegh Farhadkhani R. Guerraoui L. Hoang Oscar Villemaud FedML 154 28 0 17 Feb 2022
Byzantine-Robust Decentralized Learning via ClippedGossip Lie He Sai Praneeth Karimireddy Martin Jaggi FedML 152 33 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 183 13 0 19 Dec 2021
Strategyproof Learning: Building Trustworthy User-Generated Datasets Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 181 7 0 04 Jun 2021
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 283 167 0 16 Jun 2020
Buffered Asynchronous SGD for Byzantine LearningJournal of machine learning research (JMLR), 2020 Yi-Rui Yang Wu-Jun Li FedML 150 5 0 02 Mar 2020