Developments in artificial intelligence (AI) and distributed ledger technology (DLT) currently
lead to lively debates in academia and practice. AI processes data to perform tasks that were …

Federated learning enables clients to train a machine learning model jointly without sharing
their local data. However, due to the centrality of federated learning framework and the …

In the context of blockchain technology,“off-chain” refers to computation or data that is
structurally external to the blockchain network. Off-Chain Blockchain Systems (OCBS) …

Although blockchain offers a lot of benefits for the Internet-of-Things (IoT) network in terms of
security, there are a number of barriers to its widespread adoption. Since many IoT networks …

In this paper we present BlockchainDB, which leverages blockchains as a storage layer and
introduces a database layer on top that extends blockchains by classical data management …

In a blockchain-based system, data and the consensus-based process of recording and
updating them over distributed nodes are central to enabling the trustless multi-party …

Inconsistency between the way in which the law is structured, and the way in which
technologies actually operate is always an interesting and useful topic to explore. When a …

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

Many blockchain transactions require blockchain-external data sources to provide data.
Oracle systems have been proposed as a link between blockchains and blockchain-external …

Federated learning may be subject to both global aggregation attacks and distributed
poisoning attacks. Blockchain technology along with incentive and penalty mechanisms …