Papers citing 'Robust Aggregation for Federated Learning'

Title
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated LearningIEEE International Conference on Cloud Computing (CLOUD), 2021 Kamala Varma Yi Zhou Nathalie Baracaldo Ali Anwar FedML 117 17 0 26 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 412 456 0 14 Jul 2021
Faithful Edge Federated Learning: Scalability and PrivacyIEEE Journal on Selected Areas in Communications (JSAC), 2021 Meng Zhang Ermin Wei R. Berry FedML 242 48 0 30 Jun 2021
Secure Distributed Training at ScaleInternational Conference on Machine Learning (ICML), 2021 Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 271 17 0 21 Jun 2021
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Junyuan Hong Haotao Wang Zinan Lin Jiayu Zhou FedML 106 24 0 18 Jun 2021
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent Anish Acharya Abolfazl Hashemi Prateek Jain Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu 116 36 0 16 Jun 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 165 13 0 16 Jun 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie Minghao Chen Pin-Yu Chen Yue Liu FedML 162 196 0 15 Jun 2021
On the Strategyproofness of the Geometric MedianInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 221 20 0 04 Jun 2021
From Distributed Machine Learning to Federated Learning: A SurveyKnowledge and Information Systems (KAIS), 2021 Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 248 307 0 29 Apr 2021
Robust Federated Learning by Mixture of Experts S. Parsaeefard Sayed Ehsan Etesami A. Leon-Garcia MoE FedML 118 5 0 23 Apr 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 191 173 0 22 Apr 2021
Federated Quantum Machine LearningEntropy (Entropy), 2021 Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 173 154 0 22 Mar 2021
Meta Federated Learning Omid Aramoon Pin-Yu Chen Gang Qu Yuan Tian AAML FedML 88 15 0 10 Feb 2021
Robust Federated Learning with Attack-Adaptive Aggregation Ching Pui Wan Qifeng Chen OOD FedML 124 34 0 10 Feb 2021
Information Theoretic Secure Aggregation with User DropoutsInternational Symposium on Information Theory (ISIT), 2021 Yizhou Zhao Hua Sun FedML 191 80 0 19 Jan 2021
Probabilistic Inference for Learning from Untrusted Sources D. Nguyen Shiau Hong Lim L. Wynter D. Cai FedML 92 0 0 15 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data SourcesACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021 Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 164 34 0 14 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and DefensesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 365 340 0 18 Dec 2020
Learning from History for Byzantine Robust OptimizationInternational Conference on Machine Learning (ICML), 2020 Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 312 218 0 18 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Jiabo He Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 475 458 0 07 Dec 2020
BaFFLe: Backdoor detection via Feedback-based Federated Learning Sébastien Andreina G. Marson Helen Möllering Ghassan O. Karame FedML 217 160 0 04 Nov 2020
Byzantine Resilient Distributed Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2020 Jiani Li W. Abbas X. Koutsoukos 133 9 0 25 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 110 19 0 20 Oct 2020
Secure and Fault Tolerant Decentralized Learning Saurav Prakash H. Hashemi Yongqin Wang M. Annavaram Salman Avestimehr FedML 207 11 0 15 Oct 2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture H. Desai Mustafa Safa Ozdayi Murat Kantarcioglu FedML 185 66 0 14 Oct 2020
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework Anwaar Ulhaq O. Burmeister FedML 136 22 0 13 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 271 484 0 03 Oct 2020
Towards Bidirectional Protection in Federated Learning Lun Wang Qi Pang Shuai Wang Basel Alomair FedML 181 3 0 02 Oct 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 212 185 0 23 Sep 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated LearningInternational Conference on Information and Knowledge Management (CIKM), 2020 Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 273 32 0 18 Sep 2020
Robustness and Personalization in Federated Learning: A Unified Approach via RegularizationInternational Conference on Edge Computing [Services Society] (ICECSS), 2020 Achintya Kundu Pengqian Yu L. Wynter Shiau Hong Lim FedML 135 19 0 14 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A SurveyComplex & Intelligent Systems (CIS), 2020 Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 181 170 0 12 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated LearningNetwork and Distributed System Security Symposium (NDSS), 2020 Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 242 187 0 08 Sep 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 138 98 0 17 Aug 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 470 232 0 08 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 464 645 0 27 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 579 88 0 22 Jul 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 128 24 0 21 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningNeural Information Processing Systems (NeurIPS), 2020 Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 243 708 0 09 Jul 2020
Defending against Backdoors in Federated Learning with Robust Learning RateAAAI Conference on Artificial Intelligence (AAAI), 2020 Mustafa Safa Ozdayi Murat Kantarcioglu Yulia R. Gel FedML 264 210 0 07 Jul 2020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy Lie He Martin Jaggi FedML OOD 283 167 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 322 1,206 0 16 Jun 2020
Robust Federated Recommendation System Chen Chen Jingfeng Zhang A. Tung Mohan Kankanhalli Gang Chen FedML 141 31 0 15 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 138 24 0 12 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 181 65 0 08 Jun 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 105 2 0 24 May 2020
Towards Federated Learning With Byzantine-Robust Client WeightingApplied Sciences (Appl. Sci.), 2020 Amit Portnoy Yoav Tirosh Danny Hendler FedML 87 12 0 10 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 141 59 0 01 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 531 637 0 30 Mar 2020