[论文笔记]BAFL: A Blockchain-Based Asynchronous Federated Learning Framework melowlz 生活孤独,但不要失去理智和希望贡献 基于区块链技术提出异步联邦学习(AFL)策略,允许每个设备异步地上传本地模型。利用区块链技术防止服务器遭受单点攻击,保证数据的去中心化存储。 为了保证BAFL的效率,作者提出控制出块率的策略以...
“Instead of the traditional federal average (FedAvg) algorithm, this paper evaluates the participating rank and proportion of the local model trained in BAFL of devices. The indices, which consider the training time, training sample size, local update correlation, and global update cheating times,...
2.1 Blockchain-based federated learning techniques Blockchain is a decentralized storage system that works without any central authority and stores data in the form of a list of blocks that are linked using the cryptographic hash of the previous block [19]. Data in the blockchain is stored in...
Many researchers have proposed replacing the aggregation server in federated learning with a blockchain system to improve privacy, robustness, and scalability. In this approach, clients would upload their updated models to the blockchain ledger and use a smart contract to perform model averaging. ...
联邦学习论文阅读笔记11 FGFL: A blockchain-based fair incentive governor for Federated Learning 面对的问题:激励分配不均、攻击者欺骗 方法:提出FGFL模型。 1)设计了时间衰减SLM算法度量工作者声誉; 2)设计了基于梯度相似度的轻量级方法度量工作者贡献;...
As an emerging distributed machine learning (ML) technology, federated learning can protect data privacy through collaborative learning AI models across a large number of IoT devices. However, inefficiency and vulnerability to poisoning attacks have slowed federated learning performance. To solve the above...
Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical ...
Guduri M, Chakraborty C, Margala M (2023) Blockchain-based federated learning technique for privacy preservation and security of smart electronic health records. IEEE Transactions on Consumer Electronics Benil T, Jasper J (2023) Blockchain based secure medical data outsourcing with data deduplication...
Han, “To Talk or to Work: Flexible Communication Compression for Energy Effificient Federated Learning over Heterogeneous Mobile Edge Devices,” in International Conference on Computer Communications (INFOCOM). IEEE, 2021, pp. 1–12. 发布于 2023-07-08 11:26・IP 属地广东...
Blockchain-based Federated Learning: A Comprehensive Survey 这篇21年的工作首创地对目前的BCFL (Blockchain-based Federated Learning)做了详细地调查,给上面两个问题提供了一些回答。 为什么要将区块链和联邦学习结合起来? Paper作者认为,传统的联邦学习框架在可靠性上有以下几个问题: ...