Multi-Cluster Decentralized Federated Edge Learning (MD-FEEL)

As AI moves from the cloud to billions of connected devices, a major challenge emerges: how can these devices learn together without constantly sending data to a central server? FCP researchers from the Singapore University of Technology and Design (SUTD), together with collaborators, have developed a new approach called ๐— ๐˜‚๐—น๐˜๐—ถ-๐—–๐—น๐˜‚๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฒ๐—ฐ๐—ฒ๐—ป๐˜๐—ฟ๐—ฎ๐—น๐—ถ๐˜‡๐—ฒ๐—ฑ ๐—™๐—ฒ๐—ฑ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—˜๐—ฑ๐—ด๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด (๐— ๐——-๐—™๐—˜๐—˜๐—Ÿ) … Continue reading Multi-Cluster Decentralized Federated Edge Learning (MD-FEEL)

LITEON Partners SUTD and Spinoff NeuroRAN to Drive AI-RAN Breakthrough, Advancing Real-Time Edge AI Commercialization over 5G

Singapore University of Technology and Design (SUTD) and spinoff NeuroRAN have partnered LITEON Technology to showcase an AI-RAN milestoneโ€”how AI can be natively integrated into 5G Radio Access Networks (RAN), enabling real-time, privacy-preserving, and energy-efficient edge AI applications. Using dynamic AI model partitioning and AI-driven spectrum sensing, the solution adapts workloads between device and edge/cloud … Continue reading LITEON Partners SUTD and Spinoff NeuroRAN to Drive AI-RAN Breakthrough, Advancing Real-Time Edge AI Commercialization over 5G