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Private Read Update Write (PRUW) With Heterogeneous Databases. (arXiv:2302.03670v1 [cs.IT])
cs.CR updates on arXiv.org arxiv.org
We investigate the problem of private read update write (PRUW) with
heterogeneous storage constrained databases in federated submodel learning
(FSL). In FSL a machine learning (ML) model is divided into multiple submodels
based on different types of data used to train it. A given user downloads,
updates and uploads the updates back to a single submodel of interest, based on
the type of user's local data. With PRUW, the process of reading (downloading)
and writing (uploading) is carried out such …
back data databases downloads interest local machine machine learning private problem process single storage train types update updates