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 ...
A Peer-to-Peer Payment System for Federated Learning Layered Architecture Data (Transaction, Block, ChainStructure, etc.) Network (Message, P2P, etc.) Consensus (Consensus, PoSap, etc.) Incentive Contract Application (Application, FedCoin, etc.) ...
Blockchain Other Benchmark, Dataset and Survey (27) Benchmark and Dataset (7) Survey (20) Statistical Challenges: distribution heterogeneity and label deficiency Distributed optimization Userful Federated Optimizer Baselines: FedAvg: Communication-Efficient Learning of Deep Networks from Decentralized Data. ...
Baidu. Federated deep learning in paddlepaddle. https://github.com/PaddlePaddle/PaddleFL. Accessed 16 Feb 2021 Bao X, Su C, Xiong Y, Huang W, Hu Y (2019) Flchain: a blockchain for auditable federated learning with trust and incentive. In: International conference on big data computing and ...
In recent years, with the rapid growth of edge data, the novel cloud-edge collaborative architecture has been proposed to compensate for the lack of data processing power of traditional cloud computing. On the other hand, on account of the increasin
First, we propose a functional architecture of federated learning systems and a taxonomy of related techniques. Second, we explain the federated learning systems from four aspects: diverse types of parallelism, aggregation algorithms, data communication, and the security of federated learning systems. ...
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 ...
《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...
Consequently, BGFL not only enhances the efficiency of collaborative learning among heterogeneous nodes but also ensures heightened protection of individual privacy. Fig. 2 The group partition in the BGFL Full size image Blockchain Group: The Blockchain Group in the BGFL framework exploits group ...
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...