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Author SHA1 Message Date
dvdrw 6822d6c520 feat: federated learning demo on the actor framework
Add a FedAvg fraud-detection application in two topologies: provider
mode (coordinator/trainer star) and P2P mode (full mesh with CRDT-gated
rounds), backed by an MLP trained on PaySim data with a synthetic
fallback, plus demo scripts for both modes.

Also harden the actor runtime:
- supervisor: ignore stale death messages (OneForAll restart storm),
  drop normally-exited children instead of respawning, add a
  restart-rate limit
- register actors before their thread starts so UUID dispatch and
  getSelf cannot race the spawn
- killActor now kills the thread so links see Killed
- fulfill connection promises with the pool winner on simultaneous
  connects
- clamp the PaySim test split on small datasets and split shared
  transaction types across trainers in non-IID partitioning

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-21 12:00:00 +02:00

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