Digital Library

1. 1. Federated learning-based client training acceleration method for personalized digital twins
   YoungHwan Jeong, Won-gi Choi, Hyoseon Kye, JeeHyeong Kim, Min-hwan Song, Sang-shin Lee, Vol. 25, No. 4, pp. 23-37, Aug. 2024
   10.7472/jksii.2024.25.4.23
   Keywords: Digital Twin, Federated learning, Vector database, training optimization, Privacy, similarity search
2. 2. Advances and Issues in Federated Learning Open Platforms: A Systematic Comparison and Analysis
   JinSoo Kim, SeMo Yang, KangYoon Lee, KwangKee Lee, Vol. 24, No. 4, pp. 1-13, Aug. 2023
   10.7472/jksii.2023.24.4.1
   Keywords: Federated learning, Distributed Learning, FL Framework, Open Source
3. 3. Efficient distributed consensus optimization based on patterns and groups for federated learning
   Seung Ju Kang, Ji Young Chun, Geontae Noh, Ik Rae Jeong, Vol. 23, No. 4, pp. 73-85, Aug. 2022
   10.7472/jksii.2022.23.4.73
   Keywords: Federated learning, Optimization, Weight model, Communication time, Privacy, ADMM
4. 4. The Study on the Implementation Approach of MLOps on Federated Learning System
   Seung-hoo Hong, KangYoon Lee, Vol. 23, No. 3, pp. 97-110, Jun. 2022
   10.7472/jksii.2022.23.3.97
   Keywords: federated-learning, Framework, Open Source, effective development environment, MLOps