Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
Findings support model in which accelerated biological aging of mammary epithelia may underpin breast cancer susceptibility ...
Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...
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