Why it matters

FL enables private LLM training on sensitive distributed data. Understanding shapes design.

Advertisement

The architecture

Central server orchestrates.

Clients: local update.

Aggregate on server.

Federated learningCentral servercoordinates + aggregatesClientslocal trainingGlobal modelaggregated updateCombined with DP + secure aggregation for stronger privacy
FL flow.
Advertisement

How it works end to end

FedAvg: standard aggregation.

Clients: many rounds of local SGD.

Communication bandwidth: bottleneck.

Combine with DP + secure agg for privacy.