Show HN: I solo-validated Fed learning at 10M nodes with 50% Byzantine tolerance
I just finished testing a federated learning system at 10 million nodes. It maintains 82% accuracy even when 5 million nodes are malicious. Here's what happened ↓ --- *The Test (Feb 24, 2026)* 10,000,000 nodes 4,000,000 - 5,000,000 malicious (Byzantine) nodes 59 minutes 41 seconds total runtime 100% success rate Results: • 40% Byzantine (4M bad): 83.3% accuracy • 50% Byzantine (5M bad): 82.2% accuracy --- *Why this matters* Google's federated learning papers max out at ~10K nodes in production.
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points · 2 votes
2026-11-09 12:15:39.760Z
cumulative since publication
Research analysis
What changed
Source account: I just finished testing a federated learning system at 10 million nodes. It maintains 82% accuracy even when 5 million nodes are malicious. Here's what happened ↓ --- *The Test (Feb 24, 2026)* 10,000,000 nodes 4,000,000 - 5,000,000 malicious (Byzantine) nodes 59 minutes 41 seconds total runtime 100% success rate Results: • 40% Byzantine (4M bad): 83.3% accuracy • 50% Byzantine (5M bad): 82.2% accuracy --- *Why this matters* Google's federated learning papers max out at ~10K nodes in production.
Version & cost evidence
Source votes: 2 votes (Nov 9, 2026 UTC; cumulative since publication); previous same-scope observation: 2 (Oct 19, 2026 UTC). These observations do not establish demand growth.
Who is affected
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Missing comparison points
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Migration check
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