Shohei Kamiguchi

1 indexed paper

Recent (6 mo)

With code

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Networking×1ML×1

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Takayuki Nishio1×

Research Timeline

2026

Robust Unsupervised Network Intrusion Detection via Federated Learning with Selective Aggregation under Anomalous Sample Contamination

This paper proposes a robust training methodology for anomaly detection in network intrusion detection systems using federated learning and selective aggregation.

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Papers

cs.NIcs.LGNEWEmpiricalJul 28, 2026

Robust Unsupervised Network Intrusion Detection via Federated Learning with Selective Aggregation under Anomalous Sample Contamination

Shohei Kamiguchi, Takayuki Nishio

This paper proposes a robust training methodology for anomaly detection in network intrusion detection systems using federated learning and selective aggregation.

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