IMD Business School

What is federated machine learning? A 101 guide

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
AlphaGalileo

FedCare: Towards Interactive Diagnosis of Federated Learning Systems

FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...
EurekAlert!

Multi-constraint reinforcement learning in complex robot environments

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
IEEE

Efficient Privacy-Preserving Threshold Private Set Intersection in Cross-Domain Federated Learning Data Alignment

Abstract: Cross-domain federated learning (FL), as an emerging paradigm of distributed machine learning, enables collaborative training across multiple parties while preserving data privacy. However, ...
Frontiers

AI and Imaging for Oral Cancer Diagnosis and Prognosis

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
IEEE

Federated Learning Over Wireless Networks: Optimizing Performance with NOMA and Power Allocation

Abstract: This paper addresses the challenge of training federated learning (FL) algorithms over practical wireless networks enhanced by non-orthogonal multiple access (NOMA). In FL procedures, model ...