Federated Learning is the current state-of-the-art in supporting secure multi-party machine
learning (ML): data is maintained on the owner's device and the updates to the model are …

Autonomous vehicles (AV) utilize various machine learning (ML) models for performing
tasks such as pedestrian detection, charging station prediction, routing path prediction …

Training and inferencing phases of Deep Learning (DL) are compute-intensive that require
substantial amount of cloud-hosted resources. However, real-time needs of some edge …