Federated Learning represents a transformative shift in how Artificial Intelligence (AI) models are developed and deployed.

Accelerators are essential for achieving optimal performance and energy efficiency in computing. However, market segmentation often leads to language lock-ins, limiting flexibility across accelerators and increasing development costs.