Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study

Research article (ACM Transactions on Software Engineering and Methodology, 2024) · cited 70× · AI/ML
Press Enter · cited answer in seconds

Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study

Summary

Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study is a scholarly article[1].

Key Facts

  • Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/toward-enhancing-privacy-preservation-of-a-federated-learning-cnn-intrusion-detection-system-in-iot-method-and-empirical
MLA “Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toward-enhancing-privacy-preservation-of-a-federated-learning-cnn-intrusion-detection-system-in-iot-method-and-empirical.
BibTeX @misc{4ortxyz_toward-enhancing-privacy-preservation-of-a-federated-learning-cnn-intrusion-detection-system-in-iot-method-and-empirical_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study}}, year = {2026}, url = {https://4ort.xyz/entity/toward-enhancing-privacy-preservation-of-a-federated-learning-cnn-intrusion-detection-system-in-iot-method-and-empirical}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study — https://4ort.xyz/entity/toward-enhancing-privacy-preservation-of-a-federated-learning-cnn-intrusion-detection-system-in-iot-method-and-empirical (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/toward-enhancing-privacy-preservation-of-a-federated-learning-cnn-intrusion-detection-system-in-iot-method-and-empirical · Last refreshed: