
This report presents the results of the activities of task 2.4. This task provides architecture, algorithms, mechanisms and components / microservices for data-storage and data logging, data-transformation and data-enrichment to support privacy-preserving storage, sharing and processing. The developed works consider the definition of the data platform, the data lifecycle, and the presentation of the algorithms that ensure data security with cryptowatermarking and model watermarking. The report presents documents the architecture for the privacy-preserving data storage and logging as well as for the data movement in a federated environment, as part of the PAROMAMED architecture. The deliverable provides also the specifications for the architecture components. This document reports on the first iteration of the architecture and the models developed. A second iteration with the implementation of the above concepts will be presented in deliverable D2.9 (M30).
Data spaces, Federated learning, Watermarking
Data spaces, Federated learning, Watermarking
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
