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Researcher profile

Masatoshi Yoshikawa

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Understanding the Interplay between Privacy and Robustness in Federated Learning

    2021 · arXiv (Cornell University)

    Federated Learning (FL) is emerging as a promising paradigm of privacy-preserving machine learning, which trains an algorithm across multiple clients without exchanging their data samples. Recent works highlighted several privacy and robustness weaknesses in FL …

  2. Locally Private Streaming Data Release with Shuffling and Subsampling

    2023

    Longitudinal data collection is an important task for real-time data analysts in this Big Data Era. However, the continual observation of raw data may leak user’s sensitive information. Local differential privacy is a rigorous privacy-preserving …