Bayesian federated learning over wireless networks S Lee, C Park, SN Hong, YC Eldar, N Lee arXiv preprint arXiv:2012.15486, 2020 | 25 | 2020 |
Capacity-achieving precoding with low-complexity for terahertz LOS massive MIMO using uniform planar arrays H Cho, C Park, N Lee 2020 International Conference on Information and Communication Technology …, 2020 | 8 | 2020 |
S3GD-MV: Sparse-SignSGD with Majority Vote for Communication-Efficient Distributed Learning C Park, N Lee 2023 IEEE International Symposium on Information Theory (ISIT), 2266-2271, 2023 | 4 | 2023 |
Sparse-SignSGD with majority vote for communication-efficient distributed learning C Park, N Lee arXiv preprint arXiv:2302.07475, 2023 | 4 | 2023 |
Bayesian aircomp with sign-alignment precoding for wireless federated learning C Park, S Lee, N Lee 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 4 | 2021 |
Soft-sign stochastic gradient descent algorithm for wireless federated learning S Lee, C Park, S Hong, YC Eldar, N Lee 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 2 | 2021 |
Capacity of Terahertz Line-of-Sight UCA-MIMO Channels with One-Bit Transceivers H Cho, C Park, D Han, RW Heath, N Lee 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 1 | 2021 |
SignSGD with Federated Voting C Park, HV Poor, N Lee arXiv preprint arXiv:2403.16372, 2024 | | 2024 |
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding C Park, N Lee arXiv preprint arXiv:2402.01340, 2024 | | 2024 |
Sign Gradient Aggregation for Wireless Federated Learning Using Bussgang LMMSE Estimation S Lee, C Park, N Lee 2021 International Conference on Information and Communication Technology …, 2021 | | 2021 |