Corpus ID: 49552208

Distributed regression modeling for selecting markers under data protection constraints

@article{Zoller2018DistributedRM,
  title={Distributed regression modeling for selecting markers under data protection constraints},
  author={Daniela Zoller and Stefan Lenz and Harald Binder},
  journal={arXiv: Machine Learning},
  year={2018}
}
  • Daniela Zoller, Stefan Lenz, Harald Binder
  • Published 2018
  • Mathematics, Computer Science
  • arXiv: Machine Learning
  • Data protection constraints frequently require a distributed analysis of data, i.e., individual-level data remains at many different sites, but analysis nevertheless has to be performed jointly. The corresponding aggregated data is often exchanged manually, requiring explicit permission before transfer, i.e., the number of data calls and the amount of data should be limited. Thus, only simple aggregated summary statistics are typically transferred with just a single call. This does not allow… CONTINUE READING

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