Blockchain-Based Asynchronous Federated Learning (BAFL) code. Based on Hyperledger Fabric v2.3. If you think my code is useful, please cite my paper: @article{xu2022efficient, author={Xu, Chenhao and Qu, Youyang and Luan, Tom H. and Eklund, Peter W. and Xiang, Yong and Gao, Longxiang...
【笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challenges》精读笔记,程序员大本营,技术文章内容聚合第一站。
To embody this, we propose a practical approach that merges two emerging technologies: Federated Learning (FL) and Blockchain. The integration of these technologies enables the creation of a decentralized vehicular network. In this setting, vehicles can learn from each other without compromising ...
Interestingly, the integration with Blockchain technology provides an opportunity to further improve the FL security and performance, besides increasing its scope of applications. Therefore, we denote this integration of Blockchain and FL as the Blockchain-based federated learning (BCFL) framework. This...
The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning scheme called PFLM. PFLM releases the assumption of threshold while maintaining the security guarantees. Additionally, we design a result verification algorithm ...
《2020-Mobile edge computing blockchain and reputation-based crowdsourcing iot federated learning: A secure, decentralized and privacy-preserving system》提出一个基于区块链的声誉系统,一开始所有客户的声誉值相同,客户成功上传模型,声誉值会增加,如果上传恶意参数,声誉值则减小。服务器会根据声誉值选择可靠的客户...
BLOCKCHAINSELECTRICAL engineersTRUSTFederated learning (FL) represents a novel privacy-preserving learning paradigm that offers a practical solution for distributed privacy preservation. Although privacy-preserving FL based on homomorphic encryption (HE-PPFL) exhibits resistance to gradient leakage attacks...
IoT; machine learning; neural networks; federated learning; blockchain; learning on the edge1. Introduction The number of and use cases for IoT devices are increasing exponentially [1]; this is due in part to the increase in their ability to handle complex tasks that were once only possible ...
Hence, running federated learning in an untrusted environment becomes possible. Keywords: federated learning; artificial intelligence; blockchain; smart contract1. Introduction Many companies or organizations have recently utilized Machine Learning (ML) to gain knowledge from their data. These data are ...
Blockchain-Based Asynchronous Federated Learning (BAFL) code. Based on Hyperledger Fabric v2.3. If you think my code is useful, please cite my paper: @article{xu2022efficient, author={Xu, Chenhao and Qu, Youyang and Luan, Tom H. and Eklund, Peter W. and Xiang, Yong and Gao, Longxiang...