VentureBeat

How (and why) federated learning enhances cybersecurity

Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...
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 ...
The Next Web

What is federated learning?

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...
Mashable Benelux

Inside the First Federated Architectures Built for Redefining AI in Regulated Industries

"Traditional AI architectures were built on the assumption that data could be freely centralized. That assumption no longer ...
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 ...
InfoQ

Federated Machine Learning and Edge Systems

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Forbes

Are Embedded And Federated Machine Learning The Future Of The AI Industry?

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...
Business Wire

kMoL, a Machine Learning Library for AI Drug Discovery With Federated Learning Capabilities

TOKYO--(BUSINESS WIRE)--Elix, Inc., an AI drug discovery company with the mission of “Rethinking Drug Discovery” (CEO: Shinya Yuki/Headquarters: Tokyo, Japan; hereinafter referred to as “Elix”) has ...
Finextra

Federated learning in fraud detection: From proof of concept to practical adoption

At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...
InfoQ

Developing Deep Learning Systems Using Institutional Incremental Learning

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...