The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning

30 January 2023

Papers citing "The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning"

5 / 5 papers shown

Title
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 88 5 0 17 Feb 2025
Learning to Understand: Identifying Interactions via the Möbius Transform J. S. Kang Y. E. Erginbas Landon Butler Ramtin Pedarsani Kannan Ramchandran 22 3 0 04 Feb 2024
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation Jiachen T. Wang Yuqing Zhu Yu-Xiang Wang R. Jia Prateek Mittal TDI 34 12 0 30 Aug 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 52 94 0 30 May 2022
Models of fairness in federated learning Kate Donahue Jon M. Kleinberg FedML 35 9 0 01 Dec 2021