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Jinhyun So
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DGIST ´ë±¸°æºÏ°úÇбâ¼ú¿ø | Àü±âÀüÀÚÄÄÇ»ÅÍ°øÇаú / ÀΰøÁö´ÉÀü°ø
jinhyun@dgist.ac.kr
053-785-6343
#Distributed AI
#Federated learning
#On-device AI
Education & Experience
2024 ~ ÇöÀç
Dept. of Electrical Engineering and Computer Science (EECS) , DGIST
Assistant Professor
2022 ~ 2024
Samsung Cellular and Multimedia Lab, USA
Staff Research Engineer
~ 2022
Electrical and Computer Engineering, University of Southern California, USA
Ph.D.
2021 ~ 2021
Microsoft Research, USA
Research Intern
2013 ~ 2017
Modem Development Team, Samsung Electronics
System Engineer
~ 2012
Electrical Engineering, KAIST
M.S.
~ 2010
Electrical Engineering, KAIST
B.S.
Scopus ³í¹® Á¤º¸
LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning
IEEE Journal on Selected Areas in Information Theory
2024 | 5 | pp.285-301
2*
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
27 June 2023 | 37 | pp.9864-9873
24*
Universal Auto-Encoder Framework for MIMO CSI Feedback
Proceedings - IEEE Global Communications Conference, GLOBECOM
2023 | | pp.813-819
1*
* Citations by Scopus
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