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
Improving Heterogeneous Model Reuse by Density Estimation Anke Tang Yong Luo Han Hu Fengxiang He Kehua Su Bo Du Yixin Chen Dacheng Tao 23 5 0 23 May 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
GEST: the Graph of Events in Space and Time as a Common Representation between Vision and Language Mihai Masala Nicolae Cudlenco Traian Rebedea Marius Leordeanu 14 0 0 22 May 2023
On the Security Risks of Knowledge Graph Reasoning Zhaohan Xi Tianyu Du Changjiang Li Ren Pang S. Ji Xiapu Luo Xusheng Xiao Fenglong Ma Ting Wang 32 8 0 03 May 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang Zeming Yao L. Zhang Shengshan Hu Chao Chen Alan Liew Zhetao Li 32 9 0 21 Apr 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 33 18 0 24 Mar 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 49 3 0 09 Mar 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction Shichang Zhang Jiani Zhang Xiang Song Soji Adeshina Da Zheng Christos Faloutsos Yizhou Sun LRM 38 31 0 24 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 48 0 21 Feb 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
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 26 21 0 09 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 45 50 0 03 Feb 2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation Giacomo Balloccu Ludovico Boratto Christian Cancedda Gianni Fenu Mirko Marras 28 8 0 14 Jan 2023
TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching Shangda Wu Xiaobing Li Feng Yu Maosong Sun 45 11 0 07 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning Dongfang Zhao FedML 35 0 0 21 Dec 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 27 1 0 24 Nov 2022
A Review of Intelligent Music Generation Systems Lei Wang Ziyi Zhao Han Liu Junwei Pang Yi-qiang Qin Qidi Wu MGen 23 31 0 16 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 31 7 0 10 Nov 2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks Guanqiang Zhou Ping Xu Yue Wang Zhi Tian OOD FedML 39 4 0 29 Oct 2022
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 37 14 0 28 Oct 2022
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives Carlos Hernandez-Olivan Javier Hernandez-Olivan J. R. Beltrán MGen 44 6 0 25 Oct 2022
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 34 8 0 20 Oct 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 29 0 0 15 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 32 22 0 14 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 40 6 0 13 Oct 2022
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints Minghui Li Wei Wan Jianrong Lu Shengshan Hu Junyu Shi L. Zhang Man Zhou Yifeng Zheng FedML 30 6 0 04 Oct 2022
A Secure Federated Learning Framework for Residential Short Term Load Forecasting Muhammad Akbar Husnoo A. Anwar N. Hosseinzadeh S. Islam A. N. Mahmood R. Doss 67 34 0 29 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 45 46 0 21 Sep 2022
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks Peiling Lu Xu Tan Botao Yu Tao Qin Sheng Zhao Tie-Yan Liu 34 10 0 30 Aug 2022
GreenKGC: A Lightweight Knowledge Graph Completion Method Yun Cheng Wang Xiou Ge Bin Wang C.-C. Jay Kuo 50 15 0 19 Aug 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning Ashish Gupta Tie-Mei Luo Mao V. Ngo Sajal K. Das AAML FedML 39 14 0 14 Aug 2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning Jialiang Han Yudong Han Gang Huang Yun Ma FedML 34 4 0 01 Aug 2022
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions Russa Biswas Jan Portisch Heiko Paulheim Harald Sack Mehwish Alam 21 5 0 28 Jul 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 38 4 0 18 Jul 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
Enhanced Security and Privacy via Fragmented Federated Learning N. Jebreel J. Domingo-Ferrer Alberto Blanco-Justicia David Sánchez FedML 39 26 0 13 Jul 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 33 7 0 15 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 40 12 0 10 Jun 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 31 36 0 09 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 44 6 0 06 Jun 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 36 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 31 7 0 05 May 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings Cheng-Te Li Cheng-Mao Hsu Yang Zhang FaML 27 35 0 30 Apr 2022
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation Heng Zhu Qing Ling FedML 27 23 0 29 Apr 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 29 12 0 03 Apr 2022
Robust and Efficient Aggregation for Distributed Learning Stefan Vlaski Christian A. Schroth Michael Muma A. Zoubir OOD FedML 29 4 0 01 Apr 2022
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion Minghui Liao Zhisheng Zou Zhaoyi Wan Cong Yao X. Bai 33 231 0 21 Feb 2022
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation Xu Chen Yongfeng Zhang Jingxuan Wen XAI ELM OffRL 27 34 0 14 Feb 2022