Volgen
Seungeun Oh
Seungeun Oh
Geverifieerd e-mailadres voor ramo.yonsei.ac.kr
Titel
Geciteerd door
Geciteerd door
Jaar
Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data
E Jeong, S Oh, H Kim, J Park, M Bennis, SL Kim
NeurIPS 2018 Workshop on Machine Learning on the Phone and other Consumer …, 2018
6182018
16 Federated Knowledge Distillation
H Seo, J Park, S Oh, M Bennis, SL Kim
Machine Learning and Wireless Communications, 457, 2022
952022
Mix2FLD: Downlink federated learning after uplink federated distillation with two-way mixup
S Oh, J Park, E Jeong, H Kim, M Bennis, SL Kim
IEEE Communications Letters 24 (10), 2211-2215, 2020
542020
Distilling on-device intelligence at the network edge
J Park, S Wang, A Elgabli, S Oh, E Jeong, H Cha, H Kim, SL Kim, ...
arXiv preprint arXiv:1908.05895, 2019
342019
Locfedmix-sl: Localize, federate, and mix for improved scalability, convergence, and latency in split learning
S Oh, J Park, P Vepakomma, S Baek, R Raskar, M Bennis, SL Kim
Proceedings of the ACM Web Conference 2022, 3347-3357, 2022
292022
Multi-hop federated private data augmentation with sample compression
E Jeong, S Oh, J Park, H Kim, M Bennis, SL Kim
IJCAI 2019 Workshop on Federated Machine Learning for User Privacy and Data …, 2019
242019
Hiding in the crowd: Federated data augmentation for on-device learning
E Jeong, S Oh, J Park, H Kim, M Bennis, SL Kim
IEEE Intelligent Systems 36 (5), 80-87, 2020
132020
Differentially Private CutMix for Split Learning with Vision Transformer
S Oh, J Park, S Baek, H Nam, P Vepakomma, R Raskar, M Bennis, ...
NeurIPS 2022 Workshop on Interpolation Regularizers and Beyond (INTERPOLATE …, 2022
62022
Poster: Location-based directional CSMA/CA for millimeter wave V2V communications
S Oh, H Kim, SL Kim
2018 IEEE Vehicular Networking Conference (VNC), 1-2, 2018
32018
SplitAMC: Split Learning for Robust Automatic Modulation Classification
J Park, S Oh, SL Kim
IEEE VTC2023-Spring (arXiv preprint arXiv:2304.12200), 2023
12023
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning
S Oh, H Nam, J Park, P Vepakomma, R Raskar, M Bennis, SL Kim
IEEE Transactions on Big Data, 2023
2023
Multipath mixing-based learning data acquisition apparatus and method
SL Kim, SE Oh, M Bennis, JH Park
US Patent App. 17/847,663, 2022
2022
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–12