Federated Learning

Training or fine-tuning a shared model across many decentralized nodes on their local data, exchanging model updates instead of the raw data itself.

grounded in: HN front-page trend theme (2026-07-12): 'Decentralized / efficient AI compute: Interest is shifting toward distributed and CPU-based inference' rather than brute-force centralized GPU scale.