https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf
Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...
https://www.fox.temple.edu/directory/kanghyun-simon-cho
Kanghyun (Simon) Cho is a Ph.D. candidate in Management Information Systems at Temple University. His research explores how artificial intelligence (AI) shapes expert decision-making in high-stakes domains such as healthcare and financial markets, with particular attention to the tension between algorithmic automation and augmentation.
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https://www.fox.temple.edu/sites/fox/files/media/file/cv_Jian-Sun.pdf
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https://pharmacy.temple.edu/kenkorzekwa
Research Gate Teaching & Academic Contributions PharmD Teaching: Pharmacokinetics Graduate Teaching: Advanced Pharmacokinetics Advanced Med Chem Pharmacokinetics and Mechanistic Modeling Certificates Advising: 1 doctoral student (TUSP) Research Focus & Activities Ken Korzekwa is a Professor of Pharmaceutical Sciences at Temple University School of Pharmacy. Ken received his B.S. in Chemical ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
Abstract—Most intrusion detection systems (IDS) are vul-nerable to novel attacks and struggle to maintain a balance between high accuracy and a low false positive rate. Furthermore, the relevant features of Distributed Denial of Service (DDoS) attacks in conventional networks may not necessarily apply to the Software-defined network (SDN) environment. Additionally, weak feature selection ...
https://cis.temple.edu/~yanwang/publications.html
Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, and Yingying Chen. "Universal targeted adversarial attacks against mmwave-based human activity recognition." In Network Security Empowered by Artificial Intelligence, pp. 177-211. Cham: Springer Nature Switzerland, 2024. New!
https://cis.temple.edu/~jiewu/research/publications/Publication_files/INFOCOM2024_PSFL%20Parallel-Sequential%20Federated%20Learning%20with%20Convergence%20Guarantees.pdf
Abstract—Federated Learning (FL) is a novel distributed learning paradigm which can coordinate multiple clients to jointly train a machine learning model by using their local data samples. Existing FL works can be roughly divided into two categories according to the modes of model training: Parallel FL (PFL) and Sequential FL (SFL). PFL can speed up each round of model training time through ...