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

Sparse Federated Representation Learning for deep-sea exploration habitat design in carbon-negative infrastructure My Journey Into the Abyss: From Federated Learning to Sparse Representations It started with a seemingly simple question during a late-night research binge: How can we design habitats for deep-sea exploration that are both autonomous and carbon-negative, without centralizing the enormous data streams from thousands of underwater sensors? I had been experimenting with federated learning for months, trying to make it work across heterogeneous edge devices with limited bandwidth.