Yae Jee Cho
Yae Jee Cho
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Client selection in federated learning: Convergence analysis and power-of-choice selection strategies
YJ Cho, J Wang, G Joshi
AISTATS 2022: The 25th International Conference on Artificial Intelligence …, 2020
RF lens-embedded antenna array for mmWave MIMO: Design and performance
YJ Cho, GY Suk, B Kim, DK Kim, CB Chae
IEEE Communications Magazine 56 (7), 42-48, 2018
Map-based millimeter-wave channel models: An overview, data for B5G evaluation and machine learning
YG Lim, YJ Cho, MS Sim, Y Kim, CB Chae, RA Valenzuela
IEEE Wireless Communications 27 (4), 54-62, 2020
Bandit-based communication-efficient client selection strategies for federated learning
YJ Cho, S Gupta, G Joshi, O Yağan
Asilomar 2020: The 54th Asilomar Conference on Signals, Systems, and …, 2020
Personalized federated learning for heterogeneous clients with clustered knowledge transfer
YJ Cho, J Wang, T Chiruvolu, G Joshi
IEEE Journal of Selected Topics in Signal Processing, 2021
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
YJ Cho, A Manoel, G Joshi, R Sim, D Dimitriadis
IJCAI 2022: The 31st International Joint Conference on Artificial Intelligence, 2022
Effective enzyme deployment for degradation of interference molecules in molecular communication
YJ Cho, HB Yilmaz, W Guo, CB Chae
2017 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2017
Two-way molecular communications
JW Kwak, HB Yilmaz, N Farsad, CB Chae, AJ Goldsmith
IEEE Transactions on Communications 68 (6), 3550-3563, 2020
Interference reduction via enzyme deployment for molecular communication
HB Yilmaz, YJ Cho, W Guo, CB Chae
Electronics Letters 52 (13), 1094-1096, 2016
Relationship between cross-polarization discrimination (XPD) and spatial correlation in indoor small-cell MIMO systems
YG Lim, YJ Cho, T Oh, Y Lee, CB Chae
IEEE Wireless Communications Letters 7 (4), 654-657, 2018
Effective inter‐symbol interference mitigation with a limited amount of enzymes in molecular communications
YJ Cho, HB Yilmaz, W Guo, CB Chae
Transactions on emerging telecommunications technologies 28 (7), e3106, 2017
To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning
YJ Cho, D Jhunjhunwala, T Li, V Smith, G Joshi
FL@NeurIPS'22 (Oral Presentation): International Workshop on Federated …, 2022
On the Convergence of Federated Averaging with Cyclic Client Participation
YJ Cho, P Sharma, G Joshi, Z Xu, S Kale, T Zhang
ICML 2023: The 40th International Conference on Machine Learning, 2023
V2X downlink coverage analysis with a realistic urban vehicular model
YJ Cho, K Huang, CB Chae
2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018
Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models
YJ Cho, L Liu, Z Xu, A Fahrezi, M Barnes, G Joshi
FL@FM-NeurIPS’23: International Workshop on Federated Learning in the Age of …, 2023
Knowledge transfer in collaborative learning
DB Dimitriadis, AAM MANOEL, RA Sim, YJ CHO
US Patent App. 17/701,650, 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
YJ Cho, G Joshi, D Dimitriadis
ICCV 2023: International Conference on Computer Vision, 2023
Method for receiving data in mimo molecular communication system
CB Chae, KOO Bon-Hong, YJ Cho
US Patent App. 15/605,596, 2017
A Machine Learning Approach to Model the Received Signal in Molecular Communications
H Birkan Yilmaz, C Lee, YJ Cho, CB Chae
arXiv e-prints, arXiv: 1611.06079, 2016
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Artikkelit 1–19