… training, multi-party computing technology that protects the privacy of their own data and
complete the calculation, blockchain technology … for the federated learning system with a large …

… server, which aims to improve the training efficiency while … system into the federated learning
field, which is used to construct a hybrid privacy-preserving scheme based on chaos system …

… supply chain model based on blockchain technology[J]. … the food supply chain security risk
assessment scenario was … (Federated AI Technology) federation learning model. Enabler (…

… Using blockchain technology to replace the traditional client-server architecture can improve
the security of federated learning (FL). However, the huge communication cost and storage …

… for federated learning in a wireless environment: A process to minimize the negative effect
of training data correlation and improve performance. IEEE Vehicular Technology Magazine, …

… : Federated learning has rapidly become a research hotspot in the field of security machine
learning … Firstly, the federated learning framework, algorithm principle and classification were …

… federated learning models due to data privacy. Therefore, homomorphic encryption (HE) …
technology is introduced into federated learning in this paper. A privacy-preserving federated …

… learning to overcome these issues, and thus has been applied in federated learning in …
In this paper, we proposed the conceptual model for blockchain-enabled federated learning …

… is a secure and reliable technology. In Web 3.0, data become users’ data assets. Blockchain
technology, privacy-computing technology, and identity management technology are …

… combining federal learning and blockchain technology was proposed, which can achieve the
purpose of the training model … 在数据孤岛,隐私保护 的背景下,联邦学习(federated learning) …