Blockchain (eg, Bitcoin and Ethereum) has drawn much attention and has been widely-
deployed in recent years. However, blockchain scalability is emerging as a challenging …

Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …

The concept of blockchain, widely known as virtual currencies, saw a massive surge in
popularity in recent times. As far as the security of the blockchain is concerned, consensus …

Numerous studies have been conducted to investigate the properties of large-scale
temporal graphs. Despite the ubiquity of these graphs in real-world scenarios, it's usually …

As the indispensable trading platforms of the ecosystem, hundreds of cryptocurrency
exchanges are emerging to facilitate the trading of digital assets. While, it also attracts the …

Smart contracts are a promising means of formalizing and reliably enforcing agreements
between entities using distributed ledger technology (DLT). Research has revealed that a …

In recent years, there has been an increase in the interest in non-fungible tokens (NFT) to
purchase digital art and has shaped a new form of art collecting. The art community has a …

In this paper, we present the first large-scale and systematic study to characterize the code
reuse practice in the Ethereum smart contract ecosystem. We first performed a detailed …

Blockchain-based cryptocurrencies and applications have flourished in blockchain research
community. Massive data generated from diverse blockchain systems bring not only huge …

Network slicing is one of the fundamental tenets of Fifth Generation (5G)/Sixth Generation
(6G) networks. Deploying slices requires end-to-end (E2E) control of services and the …