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I solo-built Sovereign-Mohawk – FL with 500K nodes and 55% BFT

Show HN: I solo-built Sovereign-Mohawk – FL with 500K nodes and 55% BFT

I solo-built Sovereign-Mohawk – FL with 500K nodes and 55% BFT is active in the show hn launch space.

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The Problem:Standard Federated Learning (FL) hits a wall at scale. When you move from a few hundred nodes to 500,000, two things happen: communication overhead explodes ($O(n)$ or $O(n^2)$), and the "honest majority" assumption falls apart. Most BFT systems (like PBFT or HotStuff) are hard-capped at <33% or <50% malicious actors.The Breakthrough:I developed the Sovereign-Mohawk Protocol. In a stress test conducted yesterday, it successfully coordinated 500,000 nodes in 4 minutes and 8 seconds, maintaining model accuracy even with 55.5% of nodes acting maliciously (gradient poisoning and sybil attacks).How it works (The TL;DR):Hierarchical Streaming Aggregation: Instead of a central parameter

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Website: rwilliamspbg-ops.github.io/Sovereign-Mohawk-Proto

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