UTILIZING FEDERATED LEARNING AND META LEARNING FOR FEW-SHOT LEARNING ON EDGE DEVICES

no code implementations • Rowan University 2022 • Anthony Breitzman, Nancy Tinkham, Ning Wang

The efficient and effective handling of few-shot learning tasks on mobile devices is challenging due to the small training set issue and the physical limitations in power and computational resources on these devices.

Federated Learning Few-Shot Learning