rwilliamspbg-ops/Sovereign_Map_Federated_Learning
Sovereign Map is a high-performance, Byzantine-tolerant Federated Learning framework for edge and mesh networks. Powered by the Mohawk Protocol, it features a streaming architecture that achieves a 224x memory reduction, enabling secure orchestration of 100M+ nodes on standard hardware. Built with Flower, mTLS, and hardware-rooted trust.
What's novel
Sovereign Map is a high-performance, Byzantine-tolerant Federated Learning framework for edge and mesh networks. Powered by the Mohawk Protocol, it features a streaming architecture that achieves a 224x memory reduction, enabling secure orchestration of 100M+ nodes on standard hardware. Built with Flower, mTLS, and hardware-rooted trust.
Code Analysis
8 files read · 3 roundsA hybrid Python/Go prototype that simulates Byzantine-tolerant federated learning using Flower for aggregation and mocked Go networking layers.
Strengths
The project demonstrates a sophisticated understanding of FL security concepts (Multi-Krum, ECDH encryption, ZK-proof integration) and has a well-organized monorepo structure with extensive documentation.
Weaknesses
Critical networking logic is mocked/placeholder code, consensus is centralized rather than distributed, and the README claims production readiness while the core Go implementation lacks actual P2P connectivity.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
683
Contributors
3
Files
795
Active weeks
6
Repository
Language
Python
Stars
1
Forks
0
License
MIT