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Achievement: Pull SharkAchievement: YOLO

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wahab4222/README.md

Hi, I'm Abdul Wahab 👋

USTC Master's Graduate in Computer Technology specializing in Edge AI, Federated Learning, and Distributed Deep Learning.

  • 🔭 Primary Research: Privacy-preserving distributed systems (DP-SGD, FedProx), ROI-guided noise allocation, and empirical adversarial auditing (MIA).
  • 📜 Core Publications:
    • ROI-Guided Differential Privacy in Federated Learning for Enhanced Alzheimer's Disease Classification (SPIE Journal of Medical Imaging, Under Peer Review)
    • TeleEval-OS: Performance evaluations of large language models for telecommunications operations scheduling (Intelligent Data Analysis, Sage Journals, 2025)
  • 🛠️ Technical Stack: Python, PyTorch, TorchVision, NumPy, Scikit-learn, Git, Linux, Docker
  • 📫 Contact: abdulwahab1@mail.ustc.edu.cn | LinkedIn

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  1. ROI-based-Differential-Privacy ROI-based-Differential-Privacy Public

    Federated Alzheimer’s MRI classification on OASIS and ADNI with uniform, ROI-guided, adaptive, and layer-aware gradient perturbation, MIA evaluation, and PyTorch.

    Python