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TaehwanY98/README.md

Taehwan Yoon

Category Main Sub
🏫scholar Soongsil University MSc and PhD
🧑🏻‍💻 Link Notion LinkedIn
🧑🏻‍💼Major Preserving-privacy ML, Healthcare Analysis Federated-Learning, Parameter-Efficient Fine-Tuning, Communication-Efficient Fine-Tuning, Language Model
⚽Hobby 👨🏻‍💻Coding ⚽Running

Paper Link

Lower-Grade Glioma Segmentation in Dice-Coefficient Cross Entropy Weighted Federated Learning

Stress Affect Detection At Wearable Devices Via Clustered Federated Learning

Subnet based Federated Learning for Protecting Global Model

Privacy Preserving Voice Phishing Detection using Federated Learning

FedRef: Communication Efficient Bayesian Fine Tuning with Reference Model

Clustered Federated Learning Based on Mahalanobis Distance for Sequential Medical Data (JIPs)

Popular repositories Loading

  1. VoicePhishingDetection VoicePhishingDetection Public

    voice phishing detection on federated learning

    Jupyter Notebook 1

  2. TaehwanY98 TaehwanY98 Public

    Config files for my GitHub profile.

  3. Fed-Ref Fed-Ref Public

    To mitigate catastrophic forgetting and to increase communication efficiency, We proposed a "communication-efficient Bayesian fine-tuning using a reference model"(FedRef)

    Jupyter Notebook

  4. MAIC_Challenge_1 MAIC_Challenge_1 Public

    First MAIC Challenge Code, Regression, Attention, CNN

    Jupyter Notebook

  5. MD-CFL MD-CFL Public

    "Clustered Federated Learning Based on Mahalanobis Distance for Sequential Medical Data" is a review paper to compare with mahalanobis and consine distances on sequential medical data in federated …

    Jupyter Notebook