Toward Secure and Private Federated Learning for IoT using Blockchain
Author:
Affiliation:
1. Université de Sherbrooke,Department of Electrical and Computer Engineering,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000623.pdf?arnumber=10000623
Reference26 articles.
1. An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain
2. Federated Learning With Differential Privacy: Algorithms and Performance Analysis;kang;IEEE Transactions on Information Forensics and Security,2020
3. Towards a Secure and Reliable Federated Learning using Blockchain
4. Federated learning for ran slicing in beyond 5g networks;abouaomar;ArXiv Preprint,2022
5. Privacy-Preserving Federated Learning in Fog Computing;chunyi;IEEE Internet of Things Journal,2020
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1. Resource-Efficient Federated Learning and DAG Blockchain With Sharding in Digital-Twin-Driven Industrial IoT;IEEE Internet of Things Journal;2024-05-15
2. A Survey on Blockchain-Based Federated Learning: Categorization, Application and Analysis;Computer Modeling in Engineering & Sciences;2024
3. Secure and Efficient Federated Learning for Robust Intrusion Detection in IoT Networks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
4. Federated Learning Meets Blockchain to Secure the Metaverse;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19
5. Survey on Blockchain-Enhanced Machine Learning;IEEE Access;2023
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