Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey-Reference-Cited by-同舟云学术

Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey

Published:2023-05-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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Author:

Staňo Michal¹,Hluchý Ladislav¹,Bobák Martin¹,Krammer Peter¹,Tran Viet¹

Affiliation:

1. Institute of Informatics Slovak Academy of Sciences,Bratislava,Slovakia

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10158523/10158534/10158622.pdf?arnumber=10158622

Reference26 articles.

1. Federated learning: Strategies for improving communication efficiency;konecný;arXiv preprint arXiv 1610 05492,2016

2. Decentralized collaborative learning of personalized models over networks;vanhaesebrouck;AISTATS,2017

3. Analyzing User-Level Privacy Attack Against Federated Learning

4. A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

5. Byzantine-resilient secure federated learning;so;IEEE Journal on Selected Areas in Communication Series on Machine Learning for Communications and Networks,2020

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