On the need of data privacy and more data, we strive to join the knowledge from a fair amount of users to train powerful deep neural networks without sharing data.
On the concern of data privacy, we aim to develop algorithms towards learning accurate models privately from data.
Supervised learning on subspace data which could model real data like skeleton motion.