Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Automated machine learning is being used to build a digital twin of complex networks, saving hours compared to traditional ...
IEEE

DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions

Abstract: Federated learning is a distributed machine learning paradigm through centralized model aggregation. However, standard federated learning relies on a centralized server, making it vulnerable ...
Scientific Research Publishing

Research on the Innovative Path of AIGC Enabling University Basic Course Teaching ()

The development of artificial intelligence-generated content (AIGC) technology brings new opportunities for the teaching ...
IEEE

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey

Abstract: The emergence of new services and applications in emerging wireless networks (e.g., beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) in the Internet ...
blockchain

ACM Prize in Computing 2025: Matei Zaharia’s Distributed Systems Breakthroughs Power Large Scale Machine Learning and AI

According to Berkeley AI Research (@berkeley_ai), Matei Zaharia received the 2025 ACM Prize in Computing for visionary work in distributed data systems and computing infrastructure that enable large ...