2020
Distributed Distillation for On-Device Learning
NeurIPS 2020poster
On-device learning promises collaborative training of machine learning models across edge devices without the sharing of user data. In state-of-the-art on-device learning algorithms, devices communicate their model weights over a decentralized communication network. Transmitting model weights requir…