We propose an autonomous blockchain-based federated learning (BFL) design for privacy-
aware and efficient vehicular communication networking, where local on-vehicle machine …

We consider a public blockchain realized in the mobile edge computing (MEC) network,
where the blockchain miners compete against each other to solve the proof-of-work puzzle …

In the field of distributed consensus and blockchains, the synchronous communication
model assumes that all messages between honest parties are delayed by at most a known …

This paper proposes a new version of the power of two choices, SQ (d), load balancing
algorithm. This new algorithm improves the performance of the classical model based on the …

With the rapid development of China's national economy, the effects of traditional public
security management methods have been greatly weakened, and various new types of …

With the development of Internet, the amount of data increases exponentially. With the
development of network technology, human beings have entered the era of big data …

Construction of urban agricultural health informatics safety supervision (UAHISS) system
based on medical imaging and deep learning (DL) is provided in this research. The …

Power-of-d-choices (Pod) is a popular load balancing strategy, which has received much
attention from both academia and industry. However, much prior work on Pod has focused …

A salient factor behind the success of Bitcoin and other cryptocurrencies is the security of its
underlying consensus engine: the longest-chain protocol. Recent literature has given us an …

Theoretical framework of artificial intelligence for proportional liability in China from a data
mining perspective is designed in this paper. From the technological perspective, the novelty …