Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Basque startup Sherpa.ai has raised $18m from US investor Forgepoint for federated-learning AI that trains models without sharing sensitive data.

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: Recent years have witnessed a huge demand for artificial intelligence and machine learning applications in wireless edge networks to assist individuals with real-time services. Federated ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own. José Parra-Moyano, Karl Schmedders, and Maximilian Werner ...

With the development of advanced algorithms, computing capabilities, and available datasets, machine learning (ML) has been widely adopted to solve real-world problems in various application domains.

Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...