Sparse Federated Representation Learning for deep-sea exploration habitat design in carbon-negative infrastructure

This research explores the application of sparse federated representation learning for designing deep-sea exploration habitats. The focus is on integrating these designs into carbon-negative infrastructure initiatives, combining advanced AI with environmental sustainability goals.