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Researcher profile

Pedro Porto Buarque de Gusmão

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. On-device Federated Learning with Flower

    2021 · arXiv (Cornell University)

    Federated Learning (FL) allows edge devices to collaboratively learn a shared prediction model while keeping their training data on the device, thereby decoupling the ability to do machine learning from the need to store data …

  2. Improving Semi-Supervised Federated Learning with Limited Labeled Data via Adaptive Batchsize and Pseudo Labeling

    2025

    Federated learning (FL) is a distributed learning method that leverages numerous edge devices for training while protecting data privacy. However, most of the data produced by distributed edge devices are unlabeled, leading to the emergence …