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Hi there! 👋 I'm Youngjoon

Hi, I'm Youngjoon Lee, a passionate self-taught AI research scientist from South Korea.

🔭 Education

  • UNIST (Ulsan National Institute of Science and Technology)
    • B.S., Electric and Electronic Engineering
  • KAIST (Korea Advanced Institute of Science and Technology)
    • M.S., Electric and Electronic Engineering
    • Thesis: Statistical Heterogeneity-aware Federated Approach and Application

🌱 Research Interest

  • Distributed Machine Learning
    • Federated Learning
    • Split Learning
  • Learning Theory
    • Supervised Learning
    • Semi-Supervised Learning
    • Self-Supervised Learning

⚡ Skills

  • Languages & Frameworks
    • Python, C/C++
    • Pytorch, Tensorflow
  • Tools
    • Git, Docker, Tmux

Youngjoon Lee's Projects

byzantinefl icon byzantinefl

PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

cyclicaggregation icon cyclicaggregation

PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS

fedshare icon fedshare

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

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