Participant: eu_cordis_org:944973128[3], eu_cordis_org:904959658[4], Imperial College London[5], Engineering[6], Universidad Carlos III de Madrid[7], eu_cordis_org:919489191[8], Katholieke Universiteit Leuven[9], eu_cordis_org:933681358[10], eu_cordis_org:998080143[11], eu_cordis_org:985094171[12], eu_cordis_org:997513760[13]
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). Machine learning to augment shared knowledge in federated privacy-preserving scenarios. Retrieved October 8, 2026, from https://4ort.xyz/entity/machine-learning-to-augment-shared-knowledge-in-federated-privacy-preserving-scenarios
MLA“Machine learning to augment shared knowledge in federated privacy-preserving scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/machine-learning-to-augment-shared-knowledge-in-federated-privacy-preserving-scenarios.
BibTeX@misc{4ortxyz_machine-learning-to-augment-shared-knowledge-in-federated-privacy-preserving-scenarios_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning to augment shared knowledge in federated privacy-preserving scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-to-augment-shared-knowledge-in-federated-privacy-preserving-scenarios}, note = {Accessed: 2026-10-08}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning to augment shared knowledge in federated privacy-preserving scenarios — https://4ort.xyz/entity/machine-learning-to-augment-shared-knowledge-in-federated-privacy-preserving-scenarios (retrieved 2026-10-08)
