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Chianing Johnny Wang

Chianing Wang

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2024
[c5]
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  - conf/aaai/ChenVW24
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Yiyue Chen, Haris Vikalo, Chianing Wang:
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. AAAI 2024: 11443-11452
2023
[c4]
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  - conf/iclr/ChenWV23
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Huancheng Chen, Chianing Wang, Haris Vikalo:
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. ICLR 2023
[c3]
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  - conf/ieeesec/LiuWO23
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Yongkang Liu, Chianing Wang, Kentaro Oguchi:
Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles. SEC 2023: 244-246
[i2]
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  - journals/corr/abs-2301-08968
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Huancheng Chen, Chianing Johnny Wang, Haris Vikalo:
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. CoRR abs/2301.08968 (2023)
[i1]
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  - journals/corr/abs-2312-13380
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Yiyue Chen, Haris Vikalo, Chianing Johnny Wang:
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. CoRR abs/2312.13380 (2023)
2021
[c2]
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Yiyue Chen, Chianing Johnny Wang, BaekGyu Kim:
Federated Learning with Infrastructure Resource Limitations in Vehicular Object Detection. SEC 2021: 366-370
2020
[c1]
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  - conf/bigdataconf/WangK20
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Chianing Johnny Wang, BaekGyu Kim:
Automotive Big Data Pipeline: Disaggregated Hyper-Converged Infrastructure vs Hyper-Converged Infrastructure. IEEE BigData 2020: 1784-1787

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