Pith Number

pith:NG3UI3Z2

pith:2025:NG3UI3Z227W5WNXYSRZG74XZUV

not attested not anchored not stored refs pending

FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification

Po-Hsien Yu, Shao-Yi Chien, Yu-Syuan Tseng

FedKLPR combines KL-divergence guidance with pruning and weighted aggregation to cut communication costs in federated person re-identification by 40-42 percent.

arxiv:2508.17431 v4 · 2025-08-24 · cs.CV · cs.AI · cs.LG

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\pithnumber{NG3UI3Z227W5WNXYSRZG74XZUV}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Experimental results on eight benchmark datasets demonstrate that FedKLPR achieves substantial communication savings while maintaining competitive accuracy. Compared with state-of-the-art methods, FedKLPR reduces communication cost by 40%--42% on ResNet-50 while achieving superior overall performance.

C2weakest assumption

The assumption that the combination of KL-Divergence Regularization Loss, KL-Divergence-aggregation Weight, Pruning-ratio-aggregation Weight, and Cross-Round Recovery will continue to preserve accuracy when pruning ratios and non-IID severity increase beyond the tested benchmark settings.

C3one line summary

FedKLPR adds KL-regularized training, prune-weighted aggregation, and cross-round recovery to federated learning for re-ID, claiming 40-42% lower communication on ResNet-50 with competitive accuracy across eight datasets.

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-20T00:05:32.974069Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

69b7446f3ad7eddb36f894726ff2f9a57857efc4afd552489878d086f055098d

Aliases

arxiv: 2508.17431 · arxiv_version: 2508.17431v4 · doi: 10.48550/arxiv.2508.17431 · pith_short_12: NG3UI3Z227W5 · pith_short_16: NG3UI3Z227W5WNXY · pith_short_8: NG3UI3Z2

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/NG3UI3Z227W5WNXYSRZG74XZUV \
  | 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: 69b7446f3ad7eddb36f894726ff2f9a57857efc4afd552489878d086f055098d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c25644be4e8bcace613b0c9708d384be82b2475c65a7df5e9bef4d8914528848",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-08-24T16:11:41Z",
    "title_canon_sha256": "4e8e665a2e60590032db14180426aed0fe796a3d8607deda0a47a1ea361e1ef3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.17431",
    "kind": "arxiv",
    "version": 4
  }
}