pith:UXGZYUZY
AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
AutoFed distills local traffic data into a shared prompt matrix to enable personalized federated prediction without manual tuning.
arxiv:2512.24625 v3 · 2025-12-31 · cs.LG · cs.AI
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\usepackage{pith}
\pithnumber{UXGZYUZYOFYG2ILRJRSEFUUILY}
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Record completeness
Claims
AutoFed consistently achieves superior performance across diverse scenarios.
That the client-aligned adapter can distill local data into an effective globally shared prompt matrix without requiring dataset-specific hyper-parameter optimization or manual tuning.
AutoFed introduces a prompt-based personalized federated learning method that achieves superior traffic prediction performance on real-world datasets by sharing compact prompt matrices while preserving local specificity.
Receipt and verification
| First computed | 2026-07-28T02:23:23.284962Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5cd9c533871706d21714c6442d2885e201aee88db4419b60ebe73ca69a62772
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UXGZYUZYOFYG2ILRJRSEFUUILY \
| 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: a5cd9c533871706d21714c6442d2885e201aee88db4419b60ebe73ca69a62772
Canonical record JSON
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"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-12-31T04:52:19Z",
"title_canon_sha256": "b8ac0be1fbf4a20d34bdcc7128a05192f3e4ea218adba398095afa791e22aa6b"
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"schema_version": "1.0",
"source": {
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"kind": "arxiv",
"version": 3
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