Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

5 March 2018

Papers citing "Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates"

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Title
Federated Learning for Malware Detection in IoT Devices Valerian Rey Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Martin Jaggi FedML 43 252 0 15 Apr 2021
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption Jing Ma Si-Ahmed Naas S. Sigg X. Lyu 29 245 0 14 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 39 129 0 31 Mar 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 33 30 0 16 Feb 2021
Meta Federated Learning Omid Aramoon Pin-Yu Chen Gang Qu Yuan Tian AAML FedML 23 13 0 10 Feb 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 27 28 0 14 Jan 2021
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning Olakunle Ibitoye M. O. Shafiq Ashraf Matrawy FedML 28 18 0 08 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 32 26 0 06 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song Aleksander Madry Bo Li Tom Goldstein SILM 32 271 0 18 Dec 2020
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 174 0 18 Dec 2020
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions Alberto Blanco-Justicia J. Domingo-Ferrer Sergio Martínez David Sánchez Adrian Flanagan K. E. Tan FedML 26 110 0 12 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 357 0 07 Dec 2020
FAT: Federated Adversarial Training Giulio Zizzo Ambrish Rawat M. Sinn Beat Buesser FedML 33 43 0 03 Dec 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 31 69 0 20 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 34 31 0 05 Nov 2020
Mitigating Backdoor Attacks in Federated Learning Chen Wu Xian Yang Sencun Zhu P. Mitra FedML AAML 28 104 0 28 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 29 15 0 20 Oct 2020
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding Di Wang Xiangyu Guo Shi Li Jinhui Xu 23 3 0 19 Oct 2020
ByzShield: An Efficient and Robust System for Distributed Training Konstantinos Konstantinidis A. Ramamoorthy AAML FedML 32 11 0 10 Oct 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 29 23 0 17 Sep 2020
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 24 35 0 29 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 31 640 0 16 Jul 2020
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni Richard Vidal Marco Lorenzi FedML 14 124 0 21 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu Kiarash Shaloudegi Guojun Zhang Yaoliang Yu FedML 23 89 0 20 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 26 58 0 08 Jun 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 37 398 0 02 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 204 436 0 04 Mar 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 31 5 0 02 Mar 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 28 136 0 26 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 27 62 0 25 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 25 261 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 34 289 0 11 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 21 224 0 01 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 42 632 0 31 Dec 2019
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 32 181 0 29 Dec 2019
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 26 167 0 24 Dec 2019
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning Nirupam Gupta Nitin H. Vaidya FedML 38 8 0 19 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 65 1,184 0 24 Nov 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 8 134 0 22 Oct 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 38 181 0 11 Sep 2019
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach Haibo Yang Xin Zhang Minghong Fang Jia-Wei Liu 10 41 0 10 Sep 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation Shashank Rajput Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos FedML 33 131 0 29 Jul 2019
Bypassing Backdoor Detection Algorithms in Deep Learning T. Tan Reza Shokri FedML AAML 39 149 0 31 May 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails L. Liu Tianyang Li Constantine Caramanis 21 14 0 24 Jan 2019
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,034 0 29 Nov 2018
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 57 588 0 09 Nov 2018
$Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach$ Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$ : A Primal-Dual Homotopy Smoothing Approach Xiaohan Wei Hao Yu Qing Ling M. Neely 15 16 0 05 Sep 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 32 98 0 14 Jun 2018