ULDP-FL: Federated Learning with Across Silo User-Level Differential
Privacy

ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy

23 August 2023

Yang Cao

Masatoshi Yoshikawa

Papers citing "ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy"

5 / 5 papers shown

Title
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Z. Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 85 0 0 26 Mar 2025
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 20 5 0 29 Jan 2024
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 138 347 0 25 Sep 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 167 124 0 16 Feb 2021
Private Weighted Sum Aggregation A. Alexandru George J. Pappas FedML 55 19 0 20 Oct 2020