“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Unsupervised Federated Continual Learning (UFCL) is a new learning paradigm that embeds unsupervised representation techniques into the Federated Learning (FL) framework, which enables continuous ...

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...