区块链服务网络(Blockchain-based Service Network,BSN)是一种跨链技术,它可以将数字资产从不同的区块链网络之间传输,从而消除了跨链支付的一些限制,使得用户能够方便地在不同的区块链网络中实现资产的跨链变现。BSN也可以实现混合应用开发,它允许用户创建跨多个区块链网络的多方应用,改变传统的单一链应用的开发方式,...
本文提出的框架名字叫BFLC(Blockchain-based Federated Learning framework with Committee consensus ) BFLC 传统的中心化的联邦学习框架是由中心服务器向向客户端节点下发当前的全局模型,客户端节点收到后进行本地模型训练,完成后,向服务器上传模型更新,服务器聚合形成新的全局模型。迭代上述过程,直到全局模型精度或通...
[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...
OriginStamp specializes in rendering digital data immutable using advanced blockchain technology. Secure your data, build trust, and ensure authenticity with our innovative solutions.
In this paper, a system architecture of B lockchain-Based C eramic S upply Chain (BCSChain) is presented, and three applications of BCSChain in different scenarios are proposed, including logistics traceability, financing, and automatic trading. It is found that combing blockchain technology ...
Learn how blockchain-based timestamping works and why embedding blockchain-based timestamping can be a significant competitive advantage for your business. Read Article How to Create a Bitcoin Blockchain Address: A Step-by-Step Guide Salomon Kisters - Jun 26, 2024 Discover the process of gene...
A blockchain-based continuous data integrity checking protocol is zero-knowledge privacy if for any polynomial-time adversary, the advantage of winning the above game is negligible. 4. Concrete construction In this section, we describe the details of the blockchain-based continuous data integrity che...
**《ABlockchain-basedApproach for Data AccountabilityandProvenance Tracking》**(基于区块链的数据问责和溯源追踪)是提出了三种基于publicly auditable contracts(此处可以理解为smart contract智能合约)的模型,具有不同的的粒度(granularity)和可扩展性(scalability)。
training sample size, local update correlation, and global update cheating times, are obtained by the entropy weight method and are recorded in the blockchain for long-term trust.”(Feng 等, 2022, p. 1) :本文没有采用传统的联邦平均(FedAvg)算法,而是评估在设备的 BAFL 中训练的本地模型的参与...
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: ...