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 ...
Hosted on MSN

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.
Forbes

Reinventing Anti-Money Laundering: How Federated Learning Can Power Fund Diversion Detection And GDPR Compliance

Danske Bank, Credit Suisse, Santander Bank UK, USAA Federal Savings Bank and Wells Fargo have all been subjected to significant fines, collectively amounting to about $2.2 billion, for various ...
TechCrunch

Flower lands $3.6M to grow its platform for federated learning

The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who ...
InfoWorld

Android Gboard smartens up with federated machine learning

Google has begun using a machine learning approach to learn from user interactions with mobile devices. Currently under testing in the Gboard on Android keyboard, Federated Learning lets smartphones ...