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Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption
Research article (Computer Methods and Programs in Biomedicine, 2023) · cited 16× · AI/ML
Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption
Summary
Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption is a scholarly article[1].
Key Facts
Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption. Retrieved May 24, 2026, from https://4ort.xyz/entity/extension-of-physical-activity-recognition-with-3d-cnn-using-encrypted-multiple-sensory-data-to-federated-learning-based
MLA“Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extension-of-physical-activity-recognition-with-3d-cnn-using-encrypted-multiple-sensory-data-to-federated-learning-based.
BibTeX@misc{4ortxyz_extension-of-physical-activity-recognition-with-3d-cnn-using-encrypted-multiple-sensory-data-to-federated-learning-based_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption}}, year = {2026}, url = {https://4ort.xyz/entity/extension-of-physical-activity-recognition-with-3d-cnn-using-encrypted-multiple-sensory-data-to-federated-learning-based}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption — https://4ort.xyz/entity/extension-of-physical-activity-recognition-with-3d-cnn-using-encrypted-multiple-sensory-data-to-federated-learning-based (retrieved 2026-05-24)
