(ICML 2024) Pursuing Overall Welfare in Federated Learning through Sequential Decision Making (https://arxiv.org/abs/2402.14650)

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

Handy PyTorch implementation of Federated Learning (for your painless research)

Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler

Source code of the paper, "Prediction of Type 2 Diabetes using Genome-wide Polygenic Risk Score and Metabolic Profiles: A Machine Learning Analysis of Population-based 10-year Prospective Cohort St…

Course works of CSE241 Object Oriented Programming, UNIST

Course project of MGE304 Management Engineering Methodologies, UNIST

Past Kaggle competition : Yelp Restaurant Photo Classification

Prototypical Networks (Snell et al., 2017; ProtoNet) implemented in PyTorch

Model Agnostic Meta Learning (Finn et al., 2017; MAML) implemented in PyTorch

Simple simulation of federated learning (FedAvg) using Flower framework

Course project of MGE450 Project Lab, UNIST (Hyperledger Composer)

Course project of MGE201 Operations Research I, UNIST