The introduction of blockchain to federated learning(FL)is a promising solution to enable anonymous clients to collaboratively learn a shared prediction model using local data while avoiding the risk caused by the cen...The introduction of blockchain to federated learning(FL)is a promising solution to enable anonymous clients to collaboratively learn a shared prediction model using local data while avoiding the risk caused by the central server.However,the current researches only apply a shallow convergence between the two technologies.The aroused problems,such as the unsuitable consensus,the lack of incentive mechanism,and the incompetence of handling vertically partitioned data,make the blockchain-based FL exist in name only.This paper puts forward a novel blockchain-based framework for vertical FL with a specified consensus and incentive.Moreover,a real-world example is demonstrated to prove the practicability of our work.展开更多
基金Key Program of the National Natural Science Foundation of China(No.2019YFE0190500)Fundamental Research Funds for the Central Universities of Ministry of Education of China(No.2232021D-22)。
文摘The introduction of blockchain to federated learning(FL)is a promising solution to enable anonymous clients to collaboratively learn a shared prediction model using local data while avoiding the risk caused by the central server.However,the current researches only apply a shallow convergence between the two technologies.The aroused problems,such as the unsuitable consensus,the lack of incentive mechanism,and the incompetence of handling vertically partitioned data,make the blockchain-based FL exist in name only.This paper puts forward a novel blockchain-based framework for vertical FL with a specified consensus and incentive.Moreover,a real-world example is demonstrated to prove the practicability of our work.
