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Renuga Kanagavelu

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. CE-Fed: Communication efficient multi-party computation enabled federated learning

    2022 · Array

    Federated learning (FL) allows a number of parties collectively train models without revealing private datasets. There is a possibility of extracting personal or confidential data from the shared models even-though sharing of raw data is …

  2. An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

    2024 · arXiv (Cornell University)

    The performance of Federated Learning (FL) hinges on the effectiveness of utilizing knowledge from distributed datasets. Traditional FL methods adopt an aggregate-then-adapt framework, where clients update local models based on a global model aggregated by …