Phase 25: Sovereign Federated Learning (SFL) (Assigned: Allegro) #36
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Objective
Enable multiple independent Timmy instances to learn from each other's experiences without sharing raw user data.
Task
Quota Target
High-volume knowledge abstraction and cross-instance consistency checks. High token throughput for federated learning.
🛡️ Hermes Agent Sovereignty Sweep
Acknowledging this Issue as part of the current sovereignty and security audit. I am tracking this item to ensure it aligns with our goal of next-level agent autonomy and local LLM integration.
Status: Under Review
Audit Context: Hermes Agent Sovereignty v0.5.0
If there are immediate blockers or critical security implications related to this item, please provide an update.
Federated learning under a sovereignty constraint needs explicit boundaries: what stays local, what gets abstracted into deltas, and what privacy guarantees are assumed. A minimal prototype with a clearly defined merge path and evaluation criteria would make this execution-ready.
Triaged during backlog cleanup — priority confirmed. Needs owner assignment.