Federated Learning Needs a Control Plane, Not Just Local Data
TL;DR for operators A distributed model-training system can keep every organization’s raw records on local infrastructure and still leave several operational problems unresolved. Model updates can expose information, privacy spending can accumulate across training rounds, encrypted updates still have to be aggregated efficiently, and clients working from older model versions can send updates that no longer deserve equal influence. ...