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ORCIDYae Jee Cho
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2020 – today
- 2024
[j6]Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi:
Maximizing Global Model Appeal in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)- [i15]Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi:
Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models. CoRR abs/2401.06432 (2024) - 2023
- [j5]Yae Jee Cho
, Jianyu Wang, Tarun Chirvolu, Gauri Joshi:
Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer. IEEE J. Sel. Top. Signal Process. 17(1): 234-247 (2023) - [c8]Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis:
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. ICCV 2023: 17041-17050 - [c7]Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang:
On the Convergence of Federated Averaging with Cyclic Client Participation. ICML 2023: 5677-5721 - [i14]Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang:
On the Convergence of Federated Averaging with Cyclic Client Participation. CoRR abs/2302.03109 (2023) - [i13]Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis:
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. CoRR abs/2307.08809 (2023) - 2022
- [c6]Yae Jee Cho, Jianyu Wang, Gauri Joshi:
Towards Understanding Biased Client Selection in Federated Learning. AISTATS 2022: 10351-10375 - [c5]Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis:
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. IJCAI 2022: 2881-2887 - [i12]Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis:
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. CoRR abs/2204.12703 (2022) - [i11]Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi:
To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning. CoRR abs/2205.14840 (2022) - 2021
- [i10]Yae Jee Cho, Jianyu Wang, Tarun Chiruvolu, Gauri Joshi:
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer. CoRR abs/2109.08119 (2021) - 2020
- [j4]Yeon-Geun Lim, Yae Jee Cho, Min Soo Sim, Younsun Kim, Chan-Byoung Chae, Reinaldo A. Valenzuela:
Map-Based Millimeter-Wave Channel Models: An Overview, Data for B5G Evaluation and Machine Learning. IEEE Wirel. Commun. 27(4): 54-62 (2020) - [c4]Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yagan:
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning. ACSSC 2020: 1066-1069 - [i9]Yae Jee Cho, Jianyu Wang, Gauri Joshi:
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies. CoRR abs/2010.01243 (2020) - [i8]Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yagan:
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning. CoRR abs/2012.08009 (2020)
2010 – 2019
- 2018
- [j3]Yae Jee Cho, Gee-Yong Suk, Byoungnam Kim, Dong Ku Kim, Chan-Byoung Chae:
RF Lens-Embedded Antenna Array for mmWave MIMO: Design and Performance. IEEE Commun. Mag. 56(7): 42-48 (2018) - [j2]Yeon-Geun Lim, Yae Jee Cho, TaeckKeun Oh, Yongshik Lee, Chan-Byoung Chae:
Relationship Between Cross-Polarization Discrimination (XPD) and Spatial Correlation in Indoor Small-Cell MIMO Systems. IEEE Wirel. Commun. Lett. 7(4): 654-657 (2018) - [c3]Yae Jee Cho, Kaibin Huang, Chan-Byoung Chae:
V2X Downlink Coverage Analysis with a Realistic Urban Vehicular Model. GLOBECOM Workshops 2018: 1-6 - [i7]Yae Jee Cho, Gee-Yong Suk, Byoungnam Kim, Dong Ku Kim, Chan-Byoung Chae:
RF Lens-Embedded Antenna Array for mmWave MIMO: Design and Performance. CoRR abs/1801.07167 (2018) - [i6]Yae Jee Cho, Kaibin Huang, Chan-Byoung Chae:
V2X Downlink Coverage Analysis with a Realistic Urban Vehicular Model. CoRR abs/1805.09252 (2018) - 2017
- [j1]Yae Jee Cho, H. Birkan Yilmaz, Weisi Guo, Chan-Byoung Chae:
Effective inter-symbol interference mitigation with a limited amount of enzymes in molecular communications. Trans. Emerg. Telecommun. Technol. 28(7) (2017) - [c2]H. Birkan Yilmaz, Changmin Lee, Yae Jee Cho, Chan-Byoung Chae:
A machine learning approach to model the received signal in molecular communications. BlackSeaCom 2017: 1-5 - [c1]Yae Jee Cho, H. Birkan Yilmaz, Weisi Guo, Chan-Byoung Chae:
Effective Enzyme Deployment for Degradation of Interference Molecules in Molecular Communication. WCNC 2017: 1-6 - [i5]Yae Jee Cho, H. Birkan Yilmaz, Weisi Guo, Chan-Byoung Chae:
Effective Enzyme Deployment for Degradation of Interference Molecules in Molecular Communication. CoRR abs/1703.06384 (2017) - [i4]Yeon-Geun Lim, Yae Jee Cho, TaeckKeun Oh, Yongshik Lee, Chan-Byoung Chae:
Relationship between Cross-Polarization Discrimination (XPD) and Spatial Correlation in Indoor Small-Cell MIMO Systems. CoRR abs/1707.00227 (2017) - [i3]Yeon-Geun Lim, Yae Jee Cho, Younsun Kim, Chan-Byoung Chae:
Map-based Millimeter-Wave Channel Models: An Overview, Guidelines, and Data. CoRR abs/1711.09052 (2017) - 2016
- [i2]Yae Jee Cho, H. Birkan Yilmaz, Weisi Guo, Chan-Byoung Chae:
Effective inter-symbol interference mitigation with a limited amount of enzymes in molecular communications. CoRR abs/1604.05018 (2016) - [i1]H. Birkan Yilmaz, Changmin Lee, Yae Jee Cho, Chan-Byoung Chae:
A Machine Learning Approach to Model the Received Signal in Molecular Communications. CoRR abs/1611.06079 (2016)
Coauthor Index
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last updated on 2024-10-07 21:06 CEST by the dblp team
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