.

Browsing by Subject "Data privacy"

LAUR Repository

Browsing by Subject "Data privacy"

Sort by: Order: Results:

  • Intelligent Bilateral Client Selection in Federated Learning Using Game Theory 
    Wehbi, Osama (Lebanese American University, 2022-08-18)
    Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. ...
  • On-Demand Client Deployment And Selection In Federated Learning 
    Chahoud, Mario (Lebanese American University, 2022-08-18)
    Traditional machine learning models are used to train their models on centralized data sets. Lately, data privacy becomes a real aspect to take into consideration while collecting data. For that, Federated learning plays ...