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robust-aggregation

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Sovereign_Map_Federated_Learning

rwilliamspbg-ops / Sovereign_Map_Federated_Learning

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Sovereign Map is a production-grade, Byzantine-tolerant Federated Learning framework. Utilizing the Mohawk Protocol for streaming aggregation, it achieves a 224x memory reduction, enabling secure orchestration of 100M+ nodes via TPM 2.0 hardware-rooted trust. Features full-stack observability with Prometheus & Grafana, built-in tokenomics telemetry

distributed-systems machine-learning mesh-networks fault-tolerance cybersecurity tpm2 differential-privacy prometheus-metrics devsecops edge-computing hardware-security federated-learning tokenomics byzantine-fault-tolerance privacy-preserving-ml grafana-dashboards flower-framework decentralized-ai robust-aggregation streaming-aggregation
  • Updated Mar 31, 2026
  • Python

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