Seungeun Oh

According to our database, Seungeun Oh authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning.

Seungeun Oh, Hyelin Nam, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

IEEE Trans. Big Data, June, 2024

Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix.

Seungeun Oh, Sihun Baek, Jihong Park, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

CoRR, 2024

2023

SplitAMC: Split Learning for Robust Automatic Modulation Classification.

Jihoon Park, Seungeun Oh, Seong-Lyun Kim

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022

Differentially Private CutMix for Split Learning with Vision Transformer.

Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

CoRR, 2022

LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning.

Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Hiding in the Crowd: Federated Data Augmentation for On-Device Learning.

Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim

IEEE Intell. Syst., 2021

2020

Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup.

Seungeun Oh, Jihong Park, Eunjeong Jeong, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim

IEEE Commun. Lett., 2020

Federated Knowledge Distillation.

Hyowoon Seo, Jihong Park, Seungeun Oh, Mehdi Bennis, Seong-Lyun Kim

CoRR, 2020

2019

Distilling On-Device Intelligence at the Network Edge.

Jihong Park, Shiqiang Wang, Anis Elgabli, Seungeun Oh, Eunjeong Jeong, Han Cha, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis

CoRR, 2019

Multi-hop Federated Private Data Augmentation with Sample Compression.

Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim

CoRR, 2019

2018

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

Eunjeong Jeong, Seungeun Oh, Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim

CoRR, 2018

Poster: Location-based Directional CSMA/CA for Millimeter Wave V2V Communications.

Seungeun Oh, Hyesung Kim, Seong-Lyun Kim

Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018