3 citations · 3 across the 2 of their papers we have counts for
3 papers
Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation
Tien-Dung Cao, Nguyen T. Vuong, Thai Q. Le +2
In federated learning, the models can be trained synchronously or asynchronously. Many research works have focused on developing an aggregation method for the server to aggregate m…
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu +2
Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. Howe…
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency
Tien-Dung Cao, Tram Truong-Huu, Hien Tran +1
Deep learning has achieved great success in many applications. However, its deployment in practice has been hurdled by two issues: the privacy of data that has to be aggregated cen…