Directed Reading Program (DiRP) on trustworthy large language models.
Instead of isolated properties, we target on a holistic trustworthiness covering every properties in one solution.
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.
Keras provides very convenient tools for fast protyping Machine Learning models, especially neural networks. You can pass metric functions when compiling a model, to evaluate the learnt models. However in the current version (after v2.
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.