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About me
About me
Hi! I’m Eunjeong JEONG. I am a postdoctoral researcher at Linköping University in the Department of Computer and Information Science, working with Nikolaos Pappas. My research interests include semantic communications and energy-efficient distributed learning.
I obtained a Ph.D. in communication systems at EURECOM in Sophia-Antipolis, France, where Marios Kountouris was my advisor. I studied federated learning, distributed/decentralized systems, and communication-efficient wireless networks during the doctoral program.
Before moving to France, I attended the School of Electrical and Electronic Engineering at Yonsei University in Seoul, South Korea. Seong-Lyun Kim was my advisor during the master's program.
For more information, please check out my CV.
Selected Publications
Selected Publications
E. Jeong and N. Pappas, "Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning," will appear in proc. of IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), 2025.
E. Jeong and M. Kountouris, "DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks," in IEEE Open Journal of the Communications Society, vol. 6, pp. 4818-4839, 2025, doi: 10.1109/OJCOMS.2025.3574098.
E. Jeong and M. Kountouris, "Personalized Decentralized Federated Learning with Knowledge Distillation," in proc. of IEEE ICC, 2023, pp. 1982–1987. DOI: 10.1109/ICC45041.2023.102797
E. Jeong*, M. Zecchin*, and M. Kountouris, "Asynchronous Decentralized Learning over Unreliable Wireless Networks," in proc. of IEEE ICC, 2022, pp. 607-612, doi: 10.1109/ICC45855.2022.9838891.
E. Jeong*, S. Oh*, H. Kim, J. Park, M. Bennis, and S. -L. Kim, “Communication-efficient on-device machine learning: federated distillation and augmentation under non-IID private data,” presented at NeurIPS Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD), Montréal, Canada, Dec 2018.
*: Equal contribution.
More works are available on my Google Scholar profile.
Research Projects
Research Projects
ROBUST-6G (HORIZON-JU-SNS-2023-STREAM-B-01-04)
Focused on AI/ML-based security solutions, privacy protection, and energy-efficient 6G network design.
Semantic-aware communication for significance quantification
Huawei-EURECOM Project: Artificial Intelligence for Wireless Systems
Machine learning for wireless communications
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