University of Geneva

Precision medicine’s inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learning

As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Nature

A federated learning–enabled energy-aware anomaly detection algorithm for secure big data analytics in IoT-based smart healthcare systems

The rapid expansion of Internet of Things (IoT) devices in smart healthcare systems has led to the generation of large volumes of diverse medical data. This creates challenges in ensuring secure, ...
Oak Ridge National Lab

Accelerated and Communication Efficient Federated Learning Algorithms

Federated Learning (FL) is a distributed Machine Learning (ML) paradigm that enables multiple local devices, that is, clients, and a central server to collaboratively train a ML model using data ...
Nature

Supply chain information security sharing technology based on blockchain consensus algorithm and federated learning

Existing supply chain information security methods all suffer from the difficulty of balancing information sharing efficiency and information privacy protection. Data is prone to leakage, resulting in ...
techwyse.com

Social Media Algorithms 2026 — Threads, Facebook, X, TikTok and Instagram Algorithm Updates

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...
GitHub

FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models

This GitHub repository contains the code, data, and figures for the paper FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models. Also includes ...
Forbes

From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
https//fedtechmagazine.com

How Federated Learning Helps Agencies Build Smarter AI Models Securely

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
IEEE

Decentralized Federated Learning Algorithm Under Adversary Eavesdropping

Abstract: In this paper, we study the decentralized federated learning problem, which involves the collaborative training of a global model among multiple devices while ensuring data privacy. In ...
InfoWorld

Federated learning: The killer use case for generative AI

Let’s imagine a fictional company, Global Retail Corporation, a multinational retail chain struggling with its initial approach to AI integration. They built custom generative AI applications on their ...