https://www.fox.temple.edu/faculty-research/research-fox/resources
The Fox School of Business and the Office of Research have access to specialized research software and databases to support the important research work of our faculty and doctoral students. Some of these databases are accessible through WRDS, while others have a limited number of licenses for the Fox School. For access, please review the information listed for each database. For questions ...
https://cst.temple.edu/sites/cst/files/theses1/bao.pdf
tween Hecke eigenforms, we give another proof that the j-function is algebraic
https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/XiangHuBao-main-2022-03-23.pdf
Abstract Xiang Hu Bao (XHB), meaning ‘mutual treasury’ in Chinese, is a novel online mutual aid platform operated by Alibaba’s Ant Financial to facilitate risk sharing of critical illness exposures. XHB reached nearly 100 million members in less than one year since its launch and ofered its mem-bers critical illness protections at significantly lower cost than traditional critical ...
https://cis.temple.edu/~qzeng/cis4360-spring17/papers/An%20Overview%20of%20Cryptography.pdf
Does increased security provide comfort to paranoid people? Or does security provide some very basic protections that we are naive to believe that we don't need? During this time when the Internet provides essential communication between literally billions of people and is used as a tool for commerce, social interaction, and the exchange of an increasing amount of personal information ...
https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf
Abstract—Previous state-of-the-art studies have demonstrated that adversaries can access sensitive user data by membership inference attacks (MIAs) in Federated Learning (FL). Intro-ducing differential privacy (DP) into the FL framework is an effective way to enhance the privacy of FL. Nevertheless, in differentially private federated learning (DP-FL), local gradients become excessively ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...