FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients J Shin, Y Li, Y Liu, SJ Lee Proceedings of the 20th Annual International Conference on Mobile Systems …, 2022 | 47* | 2022 |
MyDJ: Sensing food intakes with an attachable on your eyeglass frame J Shin, S Lee, T Gong, H Yoon, H Roh, A Bianchi, SJ Lee Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 13 | 2022 |
Accurate eating detection on a daily wearable necklace J Shin, S Lee, SJ Lee Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | 6 | 2019 |
Considerations on deploying high-performance container-based NFV DG Hong, J Shin, S Woo, S Moon Proceedings of the 2nd Workshop on Cloud-Assisted Networking, 1-6, 2017 | 6 | 2017 |
Flame: Simplifying Topology Extension in Federated Learning H Daga, J Shin, D Garg, A Gavrilovska, M Lee, RR Kompella Proceedings of the 2023 ACM Symposium on Cloud Computing, 341-357, 2023 | 5* | 2023 |
Use MU-MIMO at your own risk—Why we don’t get Gb/s Wi-Fi H Choi, T Gong, J Kim, J Shin, SJ Lee Ad Hoc Networks 83, 78-90, 2019 | 4 | 2019 |
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning J Shin, H Yoon, S Lee, S Park, Y Liu, JD Choi, SJ Lee Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
Dissecting 802.11 ac performance-why you should turn off mu-mimo (poster) H Choi, T Gong, J Kim, J Shin, SJ Lee Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | 1 | 2019 |
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study GA Baumgart, J Shin, A Payani, M Lee, RR Kompella arXiv preprint arXiv:2403.17287, 2024 | | 2024 |
Are We in (A) Sync?: Guidance for Efficient Federated Learning J Shin, M Lee, SJ Lee, RR Kompella | | 2023 |
WaveEditor: Web-based Audio Editor for Novice Users H Kim, J Shin, J Jung, W Byun, O Choi 한국정보과학회 학술발표논문집, 2169-2171, 2017 | | 2017 |