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Showing 1 to 4 of 4 for “"Privacy preserving algorithms"”.

  1. SafeGENIE: Secure and federated linear mixed model association tests

    Privacy-preserving algorithms for genome-wide association studies (GWAS) promise to facilitate data sharing across silos to accelerate new discoveries. However, existing approaches do not support an important, prevalent class of methods known as linear mixed model (LMM) association tests or would …

    mit Repository record for SafeGENIE: Secure and federated linear mixed model association tests (opens in a new tab)

  2. User-Centric resource allocation through a power-efficient jamming-proof RAN on top of a multi-tenant backhaul

    … allocation solutions and we provide distributed privacy-preserving algorithms that provably converge allow to the optimal resource allocation policy by exploiting only local or shared information.

    catania Repository record for User-Centric resource allocation through a power-efficient jamming-proof RAN on top of a multi-tenant backhaul (opens in a new tab)

  3. Privacy Preservation for Cloud-Based Data Sharing and Data Analytics

    Data privacy is a globally recognized human right for individuals to control the access to their personal information, and bar the negative consequences from the use of this information. As communication technologies progress, the means to protect data privacy must also evolve to address new …

    vt Repository record for Privacy Preservation for Cloud-Based Data Sharing and Data Analytics (opens in a new tab)

  4. Decentralized Aggregation Design and Study of Federated Learning

    … concerns on this server architecture, one is the privacy of data that is being transferred to a central server and the other is volumes of data sent over the network for the model update. Federated Learning helps solve these problems by training models on local data within the device and …

    kennesaw Repository record for Decentralized Aggregation Design and Study of Federated Learning (opens in a new tab)