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Updated: Feb 13, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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臨界電気インフラストラクチャのフェデレーテッド・ラーニング - サブステーション設備の予測的なメンテナンスのためのデータヘテロゲニティの処理

Soham Ghosh1, Gaurav Mittal2

  • 1Department of Electrical Engineering, Black and Veatch, Overland Park, KS, United States.

Frontiers in artificial intelligence
|February 12, 2026
PubMed
まとめ

フェデレーテッド・ラーニングは,機密データを共有することなくコラボレーションモデルトレーニングを可能にすることで,重要な電気インフラストラクチャの予測的なメンテナンスを強化します. 連邦バッチ標準化 (FedBN) は,公益事業者間のデータ異質性を効果的に解決します.

キーワード:
分散型学習 (DLL) とは,分散型学習による学習です.連邦情報基準 (Federated Information Criterion) についてフェデラート・ラーニング (Federated Learning) とは予防的なメンテナンスは,予防的なメンテナンスのことです.サブステーションのメンテナンス

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