BAFL: An efficient blockchain-based asynchronous federated learning framework

BASS: Blockchain-based asynchronous SignSGD for robust collaborative data mining

C Xu, Y Qu, Y Xiang, L Gao, D Smith… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is a machine learning framework for collaborative data mining in
many scenarios (eg Internet of Things) due to its privacy-preserving feature. However …
被引用次数：1 相关文章 所有 4 个版本

A Blockchain-Enabled Decentralized Federated Learning System with Transparent and Open Incentive and Audit Contracts

Z Cai, J Chen, Z Diao, X Hua - International Conference on Blockchain and …, 2023 - Springer
Federated learning is an innovative and secure artificial intelligence model that ensures
distributed privacy protection. However, FL faces serious challenges such as potential single …
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Decentralized Privacy Protection of IoTs Using Blockchain-Enabled Federated Learning

Y Qu, L Gao, S Yu, Y Xiang - … in IoT: Machine Learning Approaches: A …, 2022 - Springer
Abstract Internet of Things (IoT), as the extension of cloud computing and a foundation of
edge computing, is fast booming due to its abilities to easy the bothersome issues of …
相关文章 所有 3 个版本

Current Methods of Privacy Protection in IoTs

Y Qu, L Gao, S Yu, Y Xiang - … in IoT: Machine Learning Approaches: A …, 2022 - Springer
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相关文章 所有 4 个版本