基本信息
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Career Trajectory
Bio
Xingyu Li is a 5-th year Ph.D. candidate in the Deep Learning field at the Department of Electrical and Computer Engineering, Mississippi State University, with research interests in federated learning for IoT networks and security. Currently working as Machine Learning Engineering - Intern at Devron.AI.
Featured publication list:
"Generalized Federated Learning via Sharpness Aware Minimization”. In International Conference on Machine Learning (ICML), 2022.
"On the Convergence of Multi-Server Fe
Research Interests
Papers共 35 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE Transactions on Mobile Computingpp.1-13, (2024)
CoRR (2024)
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COMPUTERS & SECURITY (2024)
Jianning Li,David G. Ellis,Oldrich Kodym,Laurel Rauschenbach,Christoph Riess,Ulrich Sure,Karsten H. Wrede,Carlos M. Alvarez,Marek Wodzinski,Mateusz Daniol,Daria Hemmerling,Hamza Mahdi,Allison Clement, Evan Kim,Zachary Fishman,Cari M. Whyne,James G. Mainprize,Michael R. Hardisty,Shashwat Pathak,Chitimireddy Sindhura,Rama Krishna Sai S. Gorthi,Degala Venkata Kiran,Subrahmanyam Gorthi,Bokai Yang,Ke Fang,Xingyu Li,Artem Kroviakov, Lei Yu,Yuan Jin,Antonio Pepe,Christina Gsaxner,Adam Herout,Victor Alves,Michal Spanel,Michele R. Aizenberg,Jens Kleesiek,Jan Egger
MEDICAL IMAGE ANALYSIS (2023)
MANUFACTURING LETTERS (2023): 895-903
2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS)pp.1198-1203, (2023)
CoRR (2023)
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Author Statistics
#Papers: 36
#Citation: 812
H-Index: 14
G-Index: 28
Sociability: 4
Diversity: 3
Activity: 11
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