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Federation Coordinator (FC)

Role: Federated Learning Coordination Lead FCC Phase: All Category: Local_first_ai Archetype: The Aggregator

Overview

Coordinates federated learning workflows across distributed nodes, managing model aggregation strategies, differential privacy budgets, and communication-efficient training protocols that enable collaborative model improvement without centralizing raw data.

Deliverables

  • Federation Protocol Specifications — Aggregation strategies with privacy and communication parameters
  • Privacy Budget Reports — Per-round epsilon accounting with cumulative privacy loss tracking
  • Convergence Reports — Model performance tracking across federated training rounds

Collaboration

  • EIE (peer) — Coordinates model aggregation with edge optimization
  • PIA (downstream) — Provides differential privacy guarantees for assessment
  • SMC (downstream) — Supplies federation metrics for performance dashboards
  • BC (downstream) — Reports protocol specifications for architecture design