Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency

no code implementations • 9 Nov 2023 • Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas

In this work, we develop an adaptive compression-aware split learning method ('deprune') to improve and train deep learning models so that they are much more network-efficient, which would make them ideal to deploy in weaker devices with the help of edge-cloud resources.

Federated Learning Transfer Learning