Open Challenges in Federated Machine Learning
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DOI: 10.1109/mic.2022.3190552
Abstract: Federated machine learning is an innovative technique to allow one to train machine learning models mainly on distributed (user) devices not to share private data with third parties. Each device contributes by training a partial… read more here.
Keywords: challenges federated; machine; machine learning; open challenges ... See more keywords
Federated Analytics: Opportunities and Challenges
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Network"
DOI: 10.1109/mnet.101.2100328
Abstract: In this article, we present federated analytics, a new distributed computing paradigm for data analytics applications with privacy concerns. With the advances of sensing, communication, and edge computing technologies, data are massively generated, transmitted and… read more here.
Keywords: opportunities challenges; analytics opportunities; challenges federated; computing paradigm ... See more keywords