cpSGD: Communication-efficient and differentially-private distributed SGD

27 May 2018

Sanjiv Kumar

Papers citing "cpSGD: Communication-efficient and differentially-private distributed SGD"

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Title
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 7 0 0 16 May 2025
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework Daniel Commey Garth V. Crosby 39 0 0 03 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 55 0 0 03 May 2025
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup Haochen Sun Xi He 43 0 0 30 Apr 2025
Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy Takao Murakami Yuichi Sei Reo Eriguchi 37 1 0 10 Apr 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 71 0 0 12 Mar 2025
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy Linh Tran Timothy Castiglia Stacy Patterson Ana Milanova FedML 45 0 0 23 Jan 2025
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization Sudeep Salgia Nikola Pavlovic Yuejie Chi Qing Zhao 41 0 0 06 Jan 2025
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 77 0 0 14 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 75 0 0 02 Dec 2024
Problem-dependent convergence bounds for randomized linear gradient compression Thomas Flynn Patrick R. Johnstone Shinjae Yoo 59 0 0 19 Nov 2024
Age-of-Gradient Updates for Federated Learning over Random Access Channels Yu Heng Wu Houman Asgari Stefano Rini Andrea Munari FedML 21 1 0 15 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD Dmitrii Avdiukhin Michael Dinitz Chenglin Fan G. Yaroslavtsev 34 0 0 09 Oct 2024
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness Hojat Allah Salehi Md Jueal Mia S. Sandeep Pradhan M. Hadi Amini Farhad Shirani FedML 36 0 0 20 Sep 2024
Fine-Tuning Large Language Models with User-Level Differential Privacy Zachary Charles Arun Ganesh Ryan McKenna H. B. McMahan Nicole Mitchell Krishna Pillutla Keith Rush 39 11 0 10 Jul 2024
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Sajani Vithana V. Cadambe Flavio du Pin Calmon Haewon Jeong FedML 50 1 0 03 Jul 2024
A Quantization-based Technique for Privacy Preserving Distributed Learning Maurizio Colombo Rasool Asal Ernesto Damiani Lamees Mahmoud AlQassem Al Anoud Almemari Yousof Alhammadi 24 0 0 26 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 36 8 0 05 Jun 2024
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective Tianqu Kang Lumin Liu Hengtao He Jun Zhang Shenghui Song Khaled B. Letaief FedML 26 4 0 16 May 2024
Balancing Similarity and Complementarity for Federated Learning Kunda Yan Sen Cui Abudukelimu Wuerkaixi Jingfeng Zhang Bo Han Gang Niu Masashi Sugiyama Changshui Zhang FedML 40 1 0 16 May 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible? Jiang Zhang Konstantinos Psounis FedML 53 0 0 06 May 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
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy Wei-Ning Chen Berivan Isik Peter Kairouz Albert No Sewoong Oh Zheng Xu 57 3 0 02 May 2024
Secure Aggregation is Not Private Against Membership Inference Attacks K. Ngo Johan Ostman Giuseppe Durisi Alexandre Graell i Amat FedML 35 2 0 26 Mar 2024
Budget Recycling Differential Privacy Bo Jiang Jian Du Sagar Shamar Qiang Yan 18 1 0 18 Mar 2024
Analysis of Total Variation Minimization for Clustered Federated Learning Alexander Jung 11 1 0 10 Mar 2024
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach Qi Tan Qi Li Yi Zhao Zhuotao Liu Xiaobing Guo Ke Xu FedML 42 2 0 02 Mar 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
$L_q$ Lower Bounds on Distributed Estimation via Fisher Information Wei-Ning Chen Ayfer Özgür 31 1 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 30 1 0 31 Jan 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 58 34 0 25 Jan 2024
A Fast, Performant, Secure Distributed Training Framework For Large Language Model Wei Huang Yinggui Wang Anda Cheng Aihui Zhou Chaofan Yu Lei Wang ALM 25 14 0 18 Jan 2024
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 19 6 0 12 Dec 2023
QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution Zixi Wang M. C. Gursoy FedML 24 1 0 10 Dec 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 31 2 0 07 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q. S. Quek FedML 27 1 0 30 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 30 3 0 17 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 30 3 0 06 Oct 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Zebang Shen Jiayuan Ye Anmin Kang Hamed Hassani Reza Shokri FedML 36 16 0 11 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 31 10 0 01 Sep 2023
Differentially Private Aggregation via Imperfect Shuffling Badih Ghazi Ravi Kumar Pasin Manurangsi Jelani Nelson Samson Zhou FedML 30 1 0 28 Aug 2023
Binary Federated Learning with Client-Level Differential Privacy Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 15 2 0 07 Aug 2023
Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation Anbang Zhang Shuaishuai Guo Shuai Liu 24 2 0 05 Aug 2023
Private Federated Learning with Autotuned Compression Enayat Ullah Christopher A. Choquette-Choo Peter Kairouz Sewoong Oh FedML 15 6 0 20 Jul 2023
Randomized Quantization is All You Need for Differential Privacy in Federated Learning Yeojoon Youn Zihao Hu Juba Ziani Jacob D. Abernethy FedML 24 21 0 20 Jun 2023
Adaptive Federated Learning with Auto-Tuned Clients J. Kim Taha Toghani César A. Uribe Anastasios Kyrillidis FedML 48 6 0 19 Jun 2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences Xizixiang Wei Tianhao Wang Ruiquan Huang Cong Shen Jing Yang H. Vincent Poor 43 1 0 14 Jun 2023
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling Xiaoyun Li Ping Li 31 6 0 13 Jun 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation Berivan Isik Wei-Ning Chen Ayfer Özgür Tsachy Weissman Albert No 61 19 0 08 Jun 2023