Federated Learning Meets Blockchain: State Channel based Distributed Data Sharing Trust Supervision Mechanism

Author(s):  
Fan Zhang ◽  
Shaoyong Guo ◽  
Xuesong Qiu ◽  
Siya Xu ◽  
Feng Qi ◽  
...  
Author(s):  
Muhammad Fadhil Ginting ◽  
Kyohei Otsu ◽  
Jeffrey Edlund ◽  
Jay Gao ◽  
Ali-akbar Agha-mohammadi

2014 ◽  
Vol 1049-1050 ◽  
pp. 1840-1843
Author(s):  
Li Na Zhang ◽  
Bo Yang

The paper analyses the present situation and characteristics of job hunting and recruitment information sharing in China, takes a technical scheme of distributed data sharing based on mobile Internet and web service, combined with the actual situation of data source of job hunting and recruitment in China, designs and develops middleware of the application service. The scheme uses the mobile phone as the terminal, to publish and browse talent supply and demand data, to effectively solve the problem of distributed data sharing, and the use of google android integrated development environment-Android Studio, designs the information sharing platform of the job hunting and recruitment based on android system.


2021 ◽  
Vol 9 (3) ◽  
pp. 239-254
Author(s):  
Enchang Sun ◽  
Kang Meng ◽  
Ruizhe Yang ◽  
Yanhua Zhang ◽  
Meng Li

Abstract Aiming at the problems of the traditional centralized data sharing platform, such as poor data privacy protection ability, insufficient scalability of the system and poor interaction ability, this paper proposes a distributed data sharing system architecture based on the Internet of Things and blockchain technology. In this system, the distributed consensus mechanism of blockchain and the distributed storage technology are employed to manage the access and storage of Internet of Things data in a secure manner. Up to the physical topology of the network, a hierarchical blockchain network architecture is proposed for local network data storage and global network data sharing, which reduces networking complexity and improves the scalability of the system. In addition, smart contract and distributed machine learning are adopted to design automatic processing functions for different types of data (public or private) and supervise the data sharing process, improving both the security and interactive ability of the system.


IET Software ◽  
2011 ◽  
Vol 5 (1) ◽  
pp. 21 ◽  
Author(s):  
T.H. Ma ◽  
W. Tian ◽  
B. Wang ◽  
D.H. Guan ◽  
S.Y. Lee

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