FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving
Federated Learning System

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

20 March 2023

Weizhao Jin

Carlee Joe-Wong

Papers citing "FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System"

11 / 11 papers shown

Title
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Bo Li Y. Song Jin Dong Jianxin Li Philip S. Yu 71 1 0 27 Apr 2025
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation Mayank Kumar J. Xue Mengxin Zheng Qian Lou 62 2 0 15 Mar 2025
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning Abdulkadir Korkmaz Praveen Rao FedML 37 0 0 22 Jan 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 46 0 0 20 Jan 2025
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 84 1 0 09 Oct 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 25 15 0 05 Feb 2024
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 29 16 0 19 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models Liam H. Fowl Jonas Geiping Steven Reich Yuxin Wen Wojtek Czaja Micah Goldblum Tom Goldstein FedML 73 56 0 29 Jan 2022
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 67 164 0 29 Sep 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption Dimitris Stripelis Hamza Saleem Tanmay Ghai Nikhil J. Dhinagar Umang Gupta ... Greg Ver Steeg Srivatsan Ravi Muhammad Naveed Paul M. Thompson J. Ambite FedML 46 53 0 07 Aug 2021