Analysis of Privacy Leakage in Federated Large Language Models

2 March 2024

Papers citing "Analysis of Privacy Leakage in Federated Large Language Models"

5 / 5 papers shown

Title
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Y. Li Bo Liu Sheng Huang Z. Zhang Xiaotong Yuan Richang Hong 41 0 0 31 Mar 2025
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security Youyang Qu Ming Liu Tianqing Zhu Longxiang Gao Shui Yu Wanlei Zhou MU FedML 54 2 0 14 Jun 2024
OASIS: Offsetting Active Reconstruction Attacks in Federated Learning Tre' R. Jeter Truc D. T. Nguyen Raed Alharbi My T. Thai AAML 13 0 0 23 Nov 2023
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 64 181 0 06 Dec 2021
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 176 450 0 10 Mar 2020