To mitigate these issues, decentralized federated learning has been proposed as an alternative. In this framework, the ...

The goal for FLC's founding is to accelerate the adoption and advancement of federated learning, a newer decentralized and privacy-preserving approach to AI, as well as related technologies such ...

The research team conducted their blockchain research using a learning paradigm called “decentralized federated learning.” In doing so, they found that they could successfully coordinate the ...

Until recently, the contemporary AI industry had been built around a centralized distribution paradigm where machine learning solutions are delivered as a part of cloud-based APIs and software ...

Shanghai, China--(Newsfile Corp. - February 22, 2023) - After over a year of preparation and restructuring, decentralized and privacy-enabled AI organization Federated Learning Consortium (FLC ...

Federated learning (FL) addresses this challenge head-on. By allowing AI models to train across decentralized networks without transferring raw data, FL strengthens security, protects privacy and ...

Federated learning is an emerging technology that enables AI models to be trained across multiple decentralized devices or servers, holding local data samples without requiring them to exchange data.