EurekAlert!

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 ...
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 ...
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.
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 ...
IEEE

Communication-Efficient Federated Learning via Dynamic Sparsity: An Adaptive Pruning Ratio Based on Weight Importance

Abstract: In Federated Learning (FL), optimizing communication efficiency and utilizing computational resources present key challenges. This paper proposes the Federated Adaptive Deep Sparse ...
insideHPC

3 National Security Labs, 1 Federated Learning AI Model

Sandia National Laboratories released information today spotlighting what the labs call a significant milestone in advancing artificial intelligence for national security. Over the past year, Sandia, ...