{
  "id": 17176446,
  "title": "CovFedAvg: Local Low-Loss Curves and Federated Model Selection",
  "url": "https://urgent.news/2026/10/29/covfedavg-local-low-loss-curves-and-federated-model-selection",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T12:12:55.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.39902v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Clients observing different parts of a prediction task may learn locally equivalent models with incompatible behavior outside their observed support. We study whether redundant models permit local low-loss paths toward a compatible shared model. CovFedAvg retains local models and curve controls on clients, fits a common endpoint through aggregated gradient contributions, and selects an actual…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}