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Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and stations. Compatible algorithms are the trains, and computation tasks are the journey. Vantage6 is completely open source under the Apache License. What vantage6 does: delivering algorithms to data stations and collecting their results managing users, organizations, collaborations, computation tasks and their results providing control (security) at the data-stations to their owners The vantage6 infrastructure is designed with three fundamental functional aspects of federated learning. Autonomy. All involved parties should remain independent and autonomous. Heterogeneity. Parties should be allowed to have differences in hardware and operating systems. Flexibility. Related to the latter, a federated learning infrastructure should not limit the use of relevant data.
If you use this software, please cite it using the metadata from this file.
machine learning, federated learning, personal health train, data analysis, secure multiparty computation, privacy enhancing technology
machine learning, federated learning, personal health train, data analysis, secure multiparty computation, privacy enhancing technology
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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 |