FL4IoT: Energy-Efficient Federated Learning for Internet of Things (IoT) Systems

PI: Amir Aminifar (LU); co-PIs: Christoph Kessler (LiU), Petru Eles (LiU)

The new generation of artificial intelligence (AI) and machine learning (ML) techniques have recently been shown to require non-negligible energy for both training and inference. FL4IoT will focus on developing efficient machine learning techniques to overcome their energy overheads, by taking advantage of the inherent heterogeneity of the Internet of Things (IoT) platforms, towards a new generation of sustainable AI/ML techniques.

Project number: D6