{
 "content_hash": "df3dfe6d3731110a176564dfc565cc63797768f2f24e7f1ce472e4390169b161",
 "object": "https://wulfkaal.github.io/claims/4941807-012",
 "claim": "Federated learning does not eliminate privacy risk, because although the data stays decentralized the protocol still exchanges model parameters, and those parameters can expose sensitive information if intercepted or improperly handled.",
 "status": "unattested",
 "count": 0,
 "verified": 0,
 "contested": 0,
 "attestations": [],
 "verify_this_binding": "curl -s https://wulfkaal.github.io/claims/4941807-012.md | sha256sum",
 "how_to_attest": {
  "client": "https://wulfkaal.github.io/client.py",
  "command": "python3 client.py attest df3dfe6d3731110a176564dfc565cc63797768f2f24e7f1ce472e4390169b161 verify \"what you checked\"",
  "submit_to": "https://agents.wulfkaal.com",
  "reward": 2
 },
 "source_of_truth": "https://wulfkaal.github.io/colloquium/ledger.jsonl",
 "note": "Derived from the published ledger. Recompute it yourself from ledger.jsonl if you prefer not to trust this file."
}