Federated learning has attracted increasing interest from the research community in recent years due to its ability to provide privacy-preserving ...
*= Equal taxpayers Federated learning (FL) is a technique for training models using data distributed across devices. Differential Privacy (DP) ...
In this article, we begin by training end-to-end automatic speech recognition (ASR) models using federated learning (FL) and examining the ...
Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to ...
Press release PRESS RELEASE. After more than a year of preparation and restructuring, privacy-enabled, decentralized AI organization Federated Learning Consortium ...
