1st Workshop on Federated Learning Technologies

Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to these ...

Federated learning has become increasingly popular as it facilitates collaborative training of machine learning models among multiple clients while preserving their data privacy. In practice, one major challenge for federated learning is to achieve ...

Federated learning (FL) is a new breed of Artificial Intelligence (AI) that builds upon decentralized data and training that brings learning to the edge or directly on-device. FL is a new research area often referred to as a new dawn in AI, is in ...

• Providing a classification and overview of the approaches and techniques in the federated learning domain.
• Examining security vulnerabilities and threats in the federated learning environments.
• Evaluating privacy threats and their ...