Machine Learning

[J40] W.-J. Jang, H. Park, and S.-H. Lee, "Provably near-optimal federated ensemble distillation with negligible overhead," submitted. 

[J36] W.-J. Jang, J.-Y. Yoon, J.-M. Park, and S.-H. Lee, "Federated learning algorithm for predicting the reliability of NAND flash memory," submitted. 

[J33] H.-Y. Park, S. Asoodeh, and S.-H. Lee, "Exactly minimax-optimal locally differentially private sampling," Neural Information Processing Systems (NeurIPS) 2024, Vancouver, Canada, Dec. 2024. 

[J32] J.-M. Park, W.-J. Jang, T.-H. Oh, S.-H. Lee, "Overcoming client data deficiency in federated learning by exploiting unlabeled data on the server," IEEE Access, vol. 12, pp. 130007-130021, Sept. 2024. 

[J29] J.-M. Park, C.-W. Moon ,B. C. Lee, E. Oh, J. Lee, W.-J. Jang, K. H. Cho and S.-H. Lee, "Detection of freezing of gait in Parkinson's disease from foot-pressure sensing insoles using a temporal convolutional neural network", Frontiers in Aging Neuroscience, vol. 16, 2024.

[J24] S. Hong, K. Kim, and S.-H. Lee, "A hybrid jamming detection algorithm for wireless communications: Simultaneous classification of known attacks and detection of unknown attacks," IEEE Communications Letters, vol. 27, pp. 1769-1773, July 2023.