Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
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.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
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This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
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It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
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A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
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