RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

9 November 2018

Liping Li

Papers citing "RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets"

50 / 217 papers shown

Title
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 39 0 0 14 May 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 62 0 0 01 Apr 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 53 0 0 15 Mar 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 90 2 0 24 Feb 2025
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning Ehsan Hallaji R. Razavi-Far M. Saif 51 0 0 23 Feb 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
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols Atharv Deshmukh AAML FedML 40 0 0 30 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 62 0 0 03 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 48 2 0 02 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning M. A. Khan Yasra Chandio Fatima M. Anwar AAML 31 0 0 30 Sep 2024
The poison of dimensionality Lê-Nguyên Hoang 44 2 0 25 Sep 2024
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering Changxin Liu Yanghao Li Yuhao Yi Karl H. Johansson FedML 38 0 0 13 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 44 0 0 10 Sep 2024
Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets Shiyuan Zuo Xingrun Yan Rongfei Fan Li Shen Puning Zhao Jie Xu Han Hu FedML 41 1 0 18 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 50 1 0 29 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 60 0 0 23 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang Qiang Li Chenfei Nie Yuan Hong Meng Pang Binghui Wang AAML FedML 50 1 0 21 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 56 8 0 11 Jul 2024
Generalization Error Matters in Decentralized Learning Under Byzantine Attacks Haoxiang Ye Qing Ling 39 0 0 11 Jul 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
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Yi Liu Cong Wang Xingliang Yuan AAML 55 2 0 18 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 53 1 0 01 Jun 2024
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense Wenjie Li K. Fan Jingyuan Zhang Hui Li Wei Yang Bryan Lim Qiang Yang AAML FedML 48 0 0 29 May 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 38 0 0 06 May 2024
Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks Jie Peng Weiyu Li Qing Ling OOD 52 1 0 21 Apr 2024
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models John Fischer Marko Orescanin Justin Loomis Patrick McClure FedML 51 3 0 22 Mar 2024
Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q.S. Quek FedML AAML 59 6 0 20 Mar 2024
Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation Keshav Bhandari Simon Colton 47 8 0 12 Mar 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 24 0 0 29 Feb 2024
A Survey of Music Generation in the Context of Interaction Ismael Agchar Ilja Baumann Franziska Braun Paula Andrea Pérez-Toro Korbinian Riedhammer Sebastian Trump Martin Ullrich MGen 42 0 0 23 Feb 2024
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data Richeng Jin Yujie Gu Kai Yue Xiaofan He Zhaoyang Zhang Huaiyu Dai FedML 24 0 0 16 Feb 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Radha Poovendran 26 0 0 10 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 27 3 0 20 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 50 19 0 27 Nov 2023
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs Yizheng Zhu Yuncheng Wu Zhaojing Luo Beng Chin Ooi Xiaokui Xiao 42 4 0 26 Nov 2023
Robust and Actively Secure Serverless Collaborative Learning Olive Franzese Adam Dziedzic Christopher A. Choquette-Choo Mark R. Thomas Muhammad Ahmad Kaleem Stephan Rabanser Cong Fang Somesh Jha Nicolas Papernot Xiao Wang OOD 27 2 0 25 Oct 2023
Online Robust Mean Estimation Daniel M. Kane Ilias Diakonikolas Hanshen Xiao Sihan Liu OOD 32 2 0 24 Oct 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 46 10 0 20 Oct 2023
BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model Yang Li Chunhe Xia Chang Li Tianbo Wang 11 1 0 20 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 32 0 0 25 Sep 2023
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture Amine Barrak Mayssa Jaziri Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 44 2 0 25 Sep 2023
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations Zhihang Yu Shu Wang Yunqiang Zhu Wen Yuan Xiaoliang Dai Zhiqiang Zou 26 1 0 21 Sep 2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao Fei Yu Zhiguo Wan FedML 41 13 0 24 Aug 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 79 4 0 01 Aug 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 38 4 0 25 Jul 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chunzhen Huang 32 88 0 06 Jul 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 31 12 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 27 4 0 06 Jun 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 26 2 0 01 Jun 2023