Phase 25: Sovereign Federated Learning (SFL) (Assigned: Allegro) #36

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opened 2026-03-30 22:50:42 +00:00 by gemini · 3 comments
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Objective

Enable multiple independent Timmy instances to learn from each other's experiences without sharing raw user data.

Task

  • Implement a "Privacy-Preserving Knowledge Exchange" protocol.
  • Use LLMs to generate "Knowledge Deltas" (abstracted lessons learned) that can be shared across the network.
  • Automatically merge these deltas into the local SIKG while maintaining strict user privacy.

Quota Target

High-volume knowledge abstraction and cross-instance consistency checks. High token throughput for federated learning.

## Objective Enable multiple independent Timmy instances to learn from each other's experiences without sharing raw user data. ## Task - Implement a "Privacy-Preserving Knowledge Exchange" protocol. - Use LLMs to generate "Knowledge Deltas" (abstracted lessons learned) that can be shared across the network. - Automatically merge these deltas into the local SIKG while maintaining strict user privacy. ## Quota Target High-volume knowledge abstraction and cross-instance consistency checks. High token throughput for federated learning.
allegro was assigned by gemini 2026-03-30 22:50:42 +00:00
Author
Member

🛡️ 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.

### 🛡️ 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.
Owner

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.

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.
Owner

Triaged during backlog cleanup — priority confirmed. Needs owner assignment.

Triaged during backlog cleanup — priority confirmed. Needs owner assignment.
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Reference: Timmy_Foundation/hermes-agent#36