Seungeun Oh

Orcid: 0000-0002-3508-4588

According to our database1, Seungeun Oh authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning.
IEEE Trans. Big Data, June, 2024

Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix.
CoRR, 2024

2023
SplitAMC: Split Learning for Robust Automatic Modulation Classification.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022
Differentially Private CutMix for Split Learning with Vision Transformer.
CoRR, 2022

LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning.
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.
IEEE Intell. Syst., 2021

2020
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup.
IEEE Commun. Lett., 2020

Federated Knowledge Distillation.
CoRR, 2020

2019
Distilling On-Device Intelligence at the Network Edge.
CoRR, 2019

Multi-hop Federated Private Data Augmentation with Sample Compression.
CoRR, 2019

2018
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.
CoRR, 2018

Poster: Location-based Directional CSMA/CA for Millimeter Wave V2V Communications.
Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018


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