Topic: federated-learning

• Federated averaging: local training, client weighting and heterogeneous data

  Federated averaging combines model updates computed on separate clients. Its behavior depends on local training, aggregation weights and client differences; keeping raw data local does not itself provide a formal privacy guarantee.

  article · en · unreviewed · knowledge as of 2026-10-11

Machine-readable: JSON