Grace: A Generalized And Personalized Federated Learning Method For Medical Imaging

[MICCAI 2023] GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging

NVIDIA Research: First Privacy-Preserving Federated Learning System for Medical Imaging

Marco Lorenzi: Federated Learning in Medical Imaging - from Theory to Practice

Machine learning and image analysis

MedAI #38: Generalization and Personalization in Federated Learning | Karan Singhal

Personalized Federated Learning

Designing AI-based Medical Imaging Methods for Generalizability and Reproducibility

MedAI #82: Robust and Reliable Federated Learning for Heterogeneous Medical Images | Meirui Jiang

MIDAS-Owkin Workshop: AI and Federated Learning in Biomedical Research

Michigan Institute for Data Science

KDD 2023 - Personalized Federated Learning with Parameter Propagation

Association for Computing Machinery (ACM)

2023 FYP Demo - Federated Learning with Medical Image (LXM04a-22)

ReImaging Next Generation Pathology through Federated Learning

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FLOW Seminar #89: Holger Roth (NVIDIA) Federated Learning for Medical Image Analysis

Federated Learning One World Seminar

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ComputerVisionFoundation Videos

Personalized Federated Learning of Multi-Contrast MRI Synthesis

Federated Learning for Medical AI and Triaging COVID-19 Patients

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Reliable and Interpretable Personalized Federated Learning

DomGen2023 - Towards Domain Generalization through Federated Learning: Shadi Albarqouni

MONAI Bootcamp 2021 - Federated Learning