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Lancelot federated learning system combines encryption and robust aggregation to resist poisoning attacks

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively train a model, without sharing raw training data with each other. This "shared ...
Forbes

IBM Federated Learning Research - Extracting Machine Learning Models From Multiple Data Pools

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.
Business Wire

Intel and Penn Medicine Announce Results of Largest Medical Federated Learning Study

Privacy-preserving AI technique enables researchers to improve cancerous brain tumor detection by 33%. SANTA CLARA, Calif.--(BUSINESS WIRE)--What’s New: Intel Labs ...
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, ...
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 ...