On the Privacy-Robustness-Utility Trilemma in Distributed Learning

9 February 2023

Papers citing "On the Privacy-Robustness-Utility Trilemma in Distributed Learning"

22 / 22 papers shown

Title
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 55 0 0 03 May 2025
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park Shahab Asoodeh Si-Hyeon Lee 36 1 0 30 Oct 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 2 0 16 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 44 0 0 09 Aug 2024
Differentially Private Neural Network Training under Hidden State Assumption Ding Chen Chen Liu FedML 32 0 0 11 Jul 2024
The Privacy Power of Correlated Noise in Decentralized Learning Youssef Allouah Anastasia Koloskova Aymane El Firdoussi Martin Jaggi R. Guerraoui 31 4 0 02 May 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot AAML 27 1 0 01 May 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning Mathilde Raynal Carmela Troncoso 27 2 0 21 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 20 0 0 16 Feb 2024
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 26 2 0 22 Dec 2023
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
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot Geovani Rizk OOD 34 15 0 24 Sep 2023
SABLE: Secure And Byzantine robust LEarning Antoine Choffrut R. Guerraoui Rafael Pinot Renaud Sirdey John Stephan Martin Zuber AAML 34 2 0 11 Sep 2023
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning Haoxiang Ye He Zhu Qing Ling FedML 41 11 0 28 Aug 2023
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev Samuel B. Hopkins FedML 36 21 0 01 Nov 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 31 67 0 24 May 2022
Combining Differential Privacy and Byzantine Resilience in Distributed SGD R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan FedML 43 4 0 08 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021
Robust Testing and Estimation under Manipulation Attacks Jayadev Acharya Ziteng Sun Huanyu Zhang AAML 52 9 0 21 Apr 2021
Robust and Differentially Private Mean Estimation Xiyang Liu Weihao Kong Sham Kakade Sewoong Oh OOD FedML 53 75 0 18 Feb 2021
Approximate Byzantine Fault-Tolerance in Distributed Optimization Shuo Liu Nirupam Gupta Nitin H. Vaidya 28 42 0 22 Jan 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016