Incentivising the federation: gradient-based metrics for data selection
and valuation in private decentralised training

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training

4 May 2023

Daniel Rueckert

Georgios Kaissis

Papers citing "Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training"

6 / 6 papers shown

Title
Data value estimation on private gradients Zijian Zhou Xinyi Xu Daniela Rus Bryan Kian Hsiang Low 74 0 0 22 Dec 2024
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 19 1 0 06 Nov 2023
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 159 349 0 25 Sep 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 117 123 0 24 Oct 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 208 107 0 26 Aug 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 92 170 0 28 Jan 2020