EurekAlert!

A comprehensive survey of federated transfer learning: Challenges, methods and applications

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...
ascopubs.org

Linear Federated Learning for Outcome Prediction With Application to Hepatocellular Carcinoma Radiotherapy

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes Federated learning (FL) enables multi-institutional predictive ...

$19.81 Bn AI Medical Diagnosis App Markets, 2026-2040 Industry Trends and Global Forecasts - Federated Learning and Explainable AI Lead the Way

AI medical diagnosis apps offer major opportunities in enhancing diagnostic accuracy and efficiency through AI algorithms.
YourStory

Can AI help healthcare systems make sense of their data?

At DevSparks 2026 in Pune, Gaurav Tripathi, Co-founder and Group CTO at Partex.AI, shared how federated learning, knowledge ...
GovCon Wire

Dell Technologies’ Ed Hicks: Federated Learning Could Help Agencies Advance AI at the Edge

Ed Hicks, business development manager for federal and artificial intelligence at Dell Technologies (NYSE: DELL), said government agencies that intend to implement AI at the edge should consider ...