【国外标准】 IEEE Draft Guide for Framework for Trustworthy Federated Machine Learning

This guide provides a reference framework for trustworthy Federated Machine Learning. The document provides guidance with respect to provable security for data and models, optimized model utility, controllable communication and computational complexity, explainable decision making and supervised processes. The guide describes three main aspects: 1) principles for trustworthy Federated Machine Learning, 2) requirements for different roles in trustworthy Federated Machine Learning, and 3)… read more techniques to realize trustworthy Federated Machine Learning. read less