https://www.fox.temple.edu/directory/michael-l-schirmer-dba-tug88533
Biography Michael L. Schirmer, DBA, is an Assistant Professor of Practice in the Marketing and Supply Chain Management Department at Temple University’s Fox School of Business. He teaches the undergraduate business strategy course, Integrative Business Applications, delivering it in the classroom and online, and in both standard and Honors formats. He serves as Faculty Adviser to the Fox ...
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://noncredit.temple.edu/olli
At the Osher Lifelong Learning Institute (OLLI) at Temple University, we offer a vibrant educational experience for individuals ages 50 years and older in Delaware Valley. Our program features a diverse range of in-person, online and hybrid courses, allowing you to shape your own learning journey while fostering meaningful social connections. Discover new interests, expand your knowledge and ...
https://www.temple.edu/accessibility/temple-resources/learning-opportunities
Temple is committed to providing free technology training to help University faculty, staff, and current students maximize the use of technology in teaching and learning. Training opportunities available at Temple include: Center for the Advancement of Teaching Technology Training provided by the Center for the Advancement of Teaching (CAT) accommodates all user levels and covers a variety of ...
https://cis.temple.edu/~latecki/Courses/RobotFall07/PapersFall07/fox-ijrr-2003.pdf
a small part of the state space, and it chooses a large number of samples if the state un-certainty is high. Both the implementation and computation overhead of this approach are small. Extensive experiments using mobile robot localization as a test application show that our approach yields drastic improvements over particle filters with fixed sample set sizes and over a previously introduced ...
https://www.fox.temple.edu/faculty-research/institutes-centers/center-student-professional-development/current-students
The CSPD graduate team helps students combine past education, prior work experience and the Fox graduate degree to achieve new and rewarding professional opportunities. Learn more on TUPortal.
https://education.temple.edu/cte/research/CAPS/index
DO_CAPS Introduction [pdf] Orientation to CO-OP DO_CAPS 01 [pdf] Career Development and Planning DO_CAPS 02 [pdf] Employment Acquisition DO_CAPS 03 [pdf] Human Relations DO_CAPS 04 part 1 of 3 [pdf] DO_CAPS 04 part 2 of 3 [pdf] DO_CAPS 04 part 3 of 3 [pdf] Health & Safety DO_CAPS 05 [pdf] Employment Retention DO_CAPS 06 [pdf] Communications Development DO_CAPS 07 [pdf] Legal Awareness DO_CAPS ...
https://cis.temple.edu/~latecki/Papers/Quan_DRBANET_ICIP_2022.pdf
ABSTRACT Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the benefit of boundary information. This paper introduces a lightweight dual-resolution network, called DRBANet, aim-ing to refine semantic segmentation results with the aid of boundary information. DRBANet also ...
https://klein.temple.edu/
The Klein College of Media and Communication is one of the largest schools of its kind in the country. Considered the Philadelphia region’s leading provider of media employees, Klein College is where academic and creative ideas come to fruition.
https://cis.temple.edu/~giorgio/cis587/readings/constraints.html
Introduction and Definitions Search can be made easier in cases where the solution insted of corresponding to an optimal path, is only required to satisfy local consistency conditions. We call such problems Constraint Satisfaction (CS) Problems. For example, in a crossword puzzle it is only required that words that cross each other have the same letter in the location where they cross. It ...