| 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 | 627* | 2020 |
| 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 | 122 | 2022 |
| 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 | 93 | 2018 |
| 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 | 87* | 2021 |
| 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 | 80 | 2020 |
| 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 | 66* | 2020 |
| Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models YJ Cho, L Liu, Z Xu, A Fahrezi, G Joshi EMNLP 2024: Proceedings of the 2024 Conference on Empirical Methods in …, 2024 | 29* | 2024 |
| Two-way molecular communications JW Kwak, HB Yilmaz, N Farsad, CB Chae, AJ Goldsmith IEEE Transactions on Communications 68 (6), 3550-3563, 2020 | 28 | 2020 |
| 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 | 28 | 2017 |
| 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 | 23 | 2023 |
| Interference reduction via enzyme deployment for molecular communication HB Yilmaz, YJ Cho, W Guo, CB Chae Electronics letters 52 (13), 1094-1096, 2016 | 23 | 2016 |
| 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 | 20 | 2022 |
| 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 | 16 | 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 | 11 | 2017 |
| 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 | 4 | 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 | 4 | 2018 |
| Maximizing global model appeal in federated learning YJ Cho, D Jhunjhunwala, T Li, V Smith, G Joshi TMLR: Transactions on Machine Learning Research, Mar. 2024, 2022 | 2 | 2022 |
| Faster, Incentivized, and Efficient Federated Learning: Theory and Applications YJ Cho Carnegie Mellon University, 2024 | | 2024 |
| Knowledge transfer in collaborative learning DB Dimitriadis, AAM MANOEL, RA Sim, YJ CHO US Patent App. 17/701,650, 2023 | | 2023 |
| Method for receiving data in mimo molecular communication system CB Chae, KOO Bon-Hong, YJ Cho US Patent App. 15/605,596, 2017 | | 2017 |
Gauri JoshiCarnegie Mellon UniversityVahvistettu sähköpostiosoite verkkotunnuksessa andrew.cmu.edu
