https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf
a major challenge for federated learning in diverse settings. Personalized Federated Learning (PFL), [Tan et al., 2022a] addresses these issues by allowing client-specific models that leverage global insights to enhance local outcomes. The main challenge in PFL lies in balancing global knowledge sharing with preserving client-specific information, making the trade- off an important research ...
https://cis.temple.edu/~ingargio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://commencement.temple.edu/sites/commencement/files/TU-Comm-Program-05-07-2021.pdf
I couldn’t be more proud of the diverse and driven students who are graduating this spring. Congratulations to all of you, to your families and to our dedicated faculty and academic advisors who had the pleasure of educating and championing you. If Temple’s founder Russell Conwell were alive to see your collective achievements today, he’d be thrilled and amazed. In 1884, he planted the ...
https://cst.temple.edu/sites/cst/files/theses1/bao.pdf
tween Hecke eigenforms, we give another proof that the j-function is algebraic
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://sites.temple.edu/ticlj/files/2017/02/30.1.Crootof-TICLJ.pdf
it is grounded in the idea that all weaponry should be subject to ―meaningful human control.‖ This ―intuitively appealing‖ principle is immensely popular,
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 ...