Smart contract technology is reshaping conventional industry and business processes.
Being embedded in blockchains, smart contracts enable the contractual terms of an …

Blockchain is a modern technology that has gained enormous attention in scientific and
practical applications. A smart contract is a digital transaction that runs, executes, and …

Understanding black box models has become paramount as systems based on opaque
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …

It is well understood that client-master communication can be a primary bottleneck in
Federated Learning. In this work, we address this issue with a novel client subsampling …

How can one build a distributed framework that allows efficient deployment of a wide
spectrum of modern advanced machine learning (ML) programs for industrial-scale …

Secure multi-party computation (MPC) allows a group of mutually distrustful parties to
compute a joint function on their inputs without revealing any information beyond the result …

From basic concepts in machine learning and data mining to advanced problems in the
machine learning domain, this book provides a unified reference for specific machine …

In the traditional distributed machine learning scenario, the user's private data is transmitted
between clients and a central server, which results in significant potential privacy risks. In …

This paper tackles a major privacy concern in current location-based services where users
have to continuously report their locations to the database server in order to obtain the …

Privacy considerations often constrain data mining projects. This paper addresses the
problem of association rule mining where transactions are distributed across sources. Each …