Eunjeong Jeong

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

Eunjeong Jeong, Seungeun Oh, Hyesung Kim et al. · arXiv (Cornell University) · 2018 · 443 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

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

Seungeun Oh, Jihong Park, Eunjeong Jeong et al. · IEEE Communications Letters · 2020 · 47 citations

Engineering, Machine Learning, Federated Distillation +17

Distilling On-Device Intelligence at the Network Edge

Jihong Park, Shiqiang Wang, Anis Elgabli et al. · arXiv (Cornell University) · 2019 · 32 citations · Full text

Engineering, Machine Learning, Edge Device +24

Multi-hop Federated Private Data Augmentation with Sample Compression

Eunjeong Jeong, Seungeun Oh, Jihong Park et al. · arXiv (Cornell University) · 2019 · 21 citations · Full text

Engineering, Machine Learning, Federated Structure +24

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

Eunjeong Jeong, Seungeun Oh, Jihong Park et al. · IEEE Intelligent Systems · 2020 · 18 citations

Artificial Intelligence, Engineering, Machine Learning +22