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Showing results 38201 to 38220 of 109570
| Fed-batch fermentation of Escherichia coli W using sucrose as a carbon source Lee, Jeongseok; Lee, SangYup; Park, Sun-Won, The 9th Kyushu-Daejeon/Chungnam Symposium on Chemical Engineering, The 9th Kyushu-Daejeon/Chungnam Symposium on Chemical Engineering, 1996-10 |
| Fed-batch fermentation of Lactobacillus rhamnosus for high concentration of lactic acid production from date juice Lee, Sang Yup; Choi, Yong-Jun, Metabolic Engineering IX, ECI, 2012-06 |
| Fed-batch fermentation of Lactobacillus rhamnosus for the productio of lactic acid from arabic date juice Lee, Sang Yup; Kim, B.; Choi, Min sung; Al-ZAHRANI, ECI's Biochemical and Molecular Engineering XVIII, Engineering Conferences International, 2013-06 |
| FedBABU: Toward Enhanced Representation for Federated Image Classification OH, JAE HOON; Kim, Sangmook; Yun, Seyoung, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-26 |
| FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Shin, Jaemin; Li, Yuanchun; Liu, Yunxin; Lee, Sung-Ju, 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022, pp.436 - 449, Association for Computing Machinery, Inc, 2022-06 |
| FedDefender: Client-Side Attack-Tolerant Federated Learning Park, Sungwon; Han, Sungwon; Wu, Fangzhao; Kim, Sundong; Zhu, Bin; Xie, Xing; Cha, Meeyoung, KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.1850 - 1861, ACM, 2023-08-08 |
| Federate-Level Reusability: Joining a Federation with SOM Document Data Kim, Tag-Gon, Spring Simulation Interoperability Workshop, SIW, 2004-04 |
| Federated Continual Learning with Weighted Inter-client Transfer Yoon, Jaehong; Jeong, Wonyong; Lee, Giwoong; Yang, Eunho; Hwang, Sung Ju, International Conference on Machine Learning (ICML), International Machine Learning Society (IMLS), 2021-07-18 |
| Federated Semi-supervised Learning with Inter-client Consistency & Disjoint Learning Jeong, Wonyong; Yoon, Jaehong; Yang, Eunho; Hwang, Sung Ju, 9th International Conference on Learning Representations, ICLR 2021, International Conference on Learning Representations, ICLR, 2021-05-03 |
| Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Jeong, Wonyong; Yoon, Jaehong; Yang, Eunho; Hwang, Sung Ju, International Conference on Learning Representations (ICLR) 2021, International Conference on Learning Representations (ICLR), 2021-05-04 |
| Federated split GANs Kortoçi, Pranvera; Liang, Yilei; Zhou, Pengyuan; Lee, Lik Hang; Mehrabi, Abbas; Hui, Pan; Tarkoma, Sasu; et al, 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, FedEdge 2022, pp.25 - 30, Association for Computing Machinery, Inc, 2022-10-17 |
| FedMix: Approximation of Mixup under Mean Augmented Federated Learning Yoon, Tehrim; Shin, Sumin; Hwang, Sung Ju; Yang, Eunho, The Ninth International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2021-05-04 |
| FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Kim, Sangmook; Shin, Wonyoung; Jang, Soohyuk; Song, Hwanjun; Yun, Seyoung, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.972 - 981, ACM, 2022-10-18 |
| FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning LEE, GIHUN; Minchan Jeong; SangMook Kim; Jaehoon Oh; Yun, Seyoung, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, IEEE/CVF, 2024-06-20 |
| FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Han, Sungwon; Park, Sungwon; Wu, Fangzhao; Kim, Sundong; Wu, Chuhan; Xie, Xing; Cha, Meeyoung, European Conference on Computer Vision, ECCV 2022, pp.691 - 707, European Computer Vision Association, 2022-10-23 |
| FED용 형광체 스크린 전착시 나타나는 전착 불균일 특성 Jeon, Duk Young, 제2회 한국정보디스플레이 학술대회 , pp.101 - 102, 1998-01-01 |
| Feect of Temperature Strain and Atmosphere on the Low Cycle Fatigue Behavior of ASME SA508cl.3 Forging Steel 김인섭, Proc. of the Seventh Conference on Mechanical Behavior of Materials, 1993 |
| Feed characteristics dependent control parameter estimation by multivariate analysis in batch processes Sim, Ye Seul; Shin, Joohyun; Lee, Jay-Hyung, AIChE Annual Meeting 2013, AIChE, 2013-11-03 |
| Feed characteristics dependent parameter estimation in batch process by statistical analysis 신주현; 심예슬; 이재형, 2013년 한국화학공학회 춘계학술대회, 한국화학공학회, 2013-04-24 |
| Feed-forward control of EDFA gain transient for optical burst networks using modulation of burst control packet channel Cho, Jeong Sik; Park, P.K.J.; Cho, MJ; Won, Yong Hyub, COIN-NGNCON 2006 - The Joint International Conference on Optical Internet and Next Generation Network, pp.43 - 45, 2006-07-09 |
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