A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility

22 December 2023

Papers citing "A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility"

4 / 4 papers shown

Title
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Dawood Wasif T. Moore Jin-Hee Cho 47 0 0 20 Mar 2025
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training Huitong Jin Yipeng Zhou Laizhong Cui Quan Z. Sheng AI4CE 48 0 0 18 Aug 2024
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy Yi-xiao Liu Yuhan Liu Li Xiong Yujie Gu Hong Chen FedML 37 0 0 25 Jul 2024
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 141 420 0 29 Nov 2018