Pith Number

pith:YMIQOSYV

pith:2024:YMIQOSYVAYO2PUBYE6ACZ3NIFE

not attested not anchored not stored refs pending

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels

Gang Niu, Jiancheng Lv, Jian Wang, Mouxing Yang, Qing Ye, Tongliang Liu, Yuhao Zhou, Yuxin Tian

The global model in federated learning memorizes noisy labels slowly, allowing a reviser to correct them across clients without extra data.

arxiv:2412.00452 v3 · 2024-11-30 · cs.LG · cs.CV

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\usepackage{pith}
\pithnumber{YMIQOSYVAYO2PUBYE6ACZ3NIFE}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

By exploiting the inherent property that the global model of FL exhibits a slow memorization of noisy labels, FedGR improve the label-noise robustness of FL in a self-contained manner.

C2weakest assumption

The global model maintains reliable predictions and robust representations even when clients have different label-noise types, ratios, and data distributions.

C3one line summary

FedGR rectifies noisy labels in federated learning via global revision modules that exploit slow memorization, outperforming seven baselines on F-LN benchmarks under heterogeneity.

Receipt and verification

First computed	2026-05-29T02:05:33.837899Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c311074b15061da7d03827802ceda82929d58885084fdc41fb5fdadd13f3747c

Aliases

arxiv: 2412.00452 · arxiv_version: 2412.00452v3 · doi: 10.48550/arxiv.2412.00452 · pith_short_12: YMIQOSYVAYO2 · pith_short_16: YMIQOSYVAYO2PUBY · pith_short_8: YMIQOSYV

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/YMIQOSYVAYO2PUBYE6ACZ3NIFE \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c311074b15061da7d03827802ceda82929d58885084fdc41fb5fdadd13f3747c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "020820fee4ebbdf0f8fdb15ab86ebefdc424857ff6b0f170addc7d46f4d589e6",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-11-30T11:57:26Z",
    "title_canon_sha256": "be40e3c9b6052eb2873787d6f2527199d125a97dc5b3fc583b092de55065b052"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.00452",
    "kind": "arxiv",
    "version": 3
  }
}