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most citedAnomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach

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cs.LG2026

Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data

Sota Sugawara, Yuji Kawamata, Akihiro Toyoda +2

Federated Learning (FL) enables distributed learning across multiple clients without sharing raw data. When statistical heterogeneity across clients is severe, Clustered Federated…