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Federated Learning for Deep Anomaly Detection with Noisy and Heterogeneous Data

Year: 2025

Type: conference-paper

Source: 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

DOI: 10.1109/case58245.2025.11163750

Authors: Ao Li, Songze Li, Fugee Tsung

Institutions: The Hong Kong University of Science and Technology (Guangzhou), Southeast University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

OpenAlex ID: W7084081702

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Cites: 12

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