Active PAR

P3338

Guide for Framework for Data Contribution Evaluation in Federated Machine Learning

This guide provides data contribution measurement methods for federated machine learning. The document provides guidance with respect to data trading feasibility for federated machine learning. The guide describes three main aspects: 1) Framework for data contribution evaluation of federated machine learning, 2) specific scenario under data contribution, 3) measurement methods for data contribution of federated machine learning.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active PAR
PAR Approval
2022-12-03

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
DCE-FML - Data Contribution Evaluation in Federated Machine Learning
IEEE Program Manager
Christy Bahn
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Working Group Chair
Chen Jianing

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