Federated learning for fair autism spectrum disorder screening across age-heterogeneous populations - Top-Institutions - MDSpire

Federated learning for fair autism spectrum disorder screening across age-heterogeneous populations

  • By

  • Siwar Rekik

  • Sajid Mehmood

  • Lamia Berriche

  • April 7, 2026

  • 0 min

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Top Institutions in Pediatrics

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Machine Learning
    • Neuroinformatics

  • #2

    Stanford University - Center for Biomedical Informatics Research
    Stanford University - Center for Biomedical Informatics Research

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Neurodevelopmental Disorders
    • Machine Learning

  • #3

    University of California, San Francisco (UCSF) - Weill Institute for Neurosciences
    University of California, San Francisco (UCSF) - Weill Institute for Neurosciences

    San Francisco, CA

    Key Differentiators

    • Neurosciences
    • Neurodevelopmental Disorders
    • Clinical Informatics

  • #4

    Children's Hospital of Philadelphia (CHOP) - Center for Autism Research
    Children's Hospital of Philadelphia (CHOP) - Center for Autism Research

    Philadelphia, PA

    Key Differentiators

    • Pediatric Neurology
    • Autism Research
    • Clinical Data Science

  • #5

    Johns Hopkins University - Department of Psychiatry and Behavioral Sciences
    Johns Hopkins University - Department of Psychiatry and Behavioral Sciences

    Baltimore, MD

    Key Differentiators

    • Psychiatry
    • Neurodevelopmental Disorders
    • Clinical AI

Original Source(s)

Federated learning for fair autism spectrum disorder screening across age-heterogeneous populations

  • by Siwar Rekik, Sajid Mehmood, Lamia Berriche

  • April 7, 2026

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