Leandros Tassiulas
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Recent (6 mo)
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126
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ML×1Crypto×1Distributed×1Networking×1
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2026
CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification
CLAD is a federated learning framework that jointly performs anomaly detection and attack classification in heterogeneous IoT environments by combining clustered learning with a dual-mode architecture, significantly improving performance with minimal communication overhead.
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