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FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf

0 2 2 2 L1 + E 0G2 + E2 0G2 2 + 2 L2E2 0G2 2 + 2 Theorem 2. (Non-convex FedCPD convergence). 0 < e < 0, e 2 f1 1; 2; : : : ; Eg, where represents the de- 2; cay factor for the learning rate. If the learning rate for each epoch satisfies the following condition, the loss function de-creases monotonically, leading to convergence:

FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf

For notation, tindicates the communication round and e2 1=2;1;2;:::;Erefers to the local iterations, where Eis the total number of local updates. Thus, tE+ erepresents the e-th local iteration in the (t+ 1)-th round.

CIS587: The RETE Algorithm - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/rete.html

(R1 (has-goal ?x simplify) (expression ?x 0 + ?y) ==>....) (R2 (has-goal ?x simplify) (expression ?x 0 * ?y) ==>....) and the following facts: (has-goal e1 simplicity) (expression e1 0 + 3) (has-goal e2 simplicity) (expression e2 0 + 5) (has-goal e3 simplicity) (expression e3 0 * 2) Then the Rete is +----------+ | ENTRANCE | +----------+ x ...

PAY NO ATTENTION TO THE MAN BEHIND THE CURTAIN (OR THE REALLY BAD PROOF ...

https://law.temple.edu/aer/2025/03/31/pay-no-attention-to-the-man-behind-the-curtain-or-the-really-bad-proof-you-just-heard/

See, e.g., David A. Sonenshein, The Misuse of Rule 404 (B) on the Issue of Intent in Federal Courts, 45 Creighton L. Rev. 215, 270-71 (Dec. 2011); Lieberman & Arndt, supra, at 694-704; Schuyler C. Davis, No Substitution for Justice: Solving the Bruton Problem Through Per Se Trial Severance, 50 U. Mem. L. Rev. 695, 721 (Spring 2020); Lisa Kern ...

Yue Qiu's CV - Fox School of Business and Management

https://www.fox.temple.edu/sites/fox/files/documents/CVs/yue-qiu-cv.pdf

3. “Organized Labor Effects on SG&A Cost Behavior” (with Hsihui Chang, Xin Dai, and Eric Lohwasser) • Contemporary Accounting Research, 39(1), Pages 404-427, 2022

Learning preferences are not learning styles… and why the language we ...

https://sites.temple.edu/edvice/2021/11/24/learning-preferences-are-not-learning-styles-and-why-the-language-we-use-matters/

In L. S. Cermak and F. I. M. Craik (Eds.), Levels of processing in human memory (pp. 385-404). Lawrence Erlbaum Associates. Bruff, D. (2019). Intentional tech: Principles to guide the use of educational technology in college teaching. West Virginia University Press. Paivio, A. (2007). Mind and its evolution: A dual coding theoretical approach.

Grounded Theory - Qualitative Research: Grounded Theory - Research ...

https://guides.temple.edu/groundedtheory/groundedtheory

Grounded Theory is about "how the discovery of theory from data - systemically obtained and analyzed in social research - can be furthered." In opposition to the top down theory verification approach, "grounded theory" is the "discovery of theory from data." It is "a general method of comparative analysis." (Glaser and Strauss, 1967, p. 1). What is produced from Grounded Theory aims to provide ...

About Us | Tuttleman Counseling Services | Tuttleman Counseling Services

https://counseling.temple.edu/about-us

Welcome to Tuttleman Counseling Services! If you are a registered student at Temple University, Tuttleman Counseling Services (TCS) offers support for your mental health needs. Assistance at TCS is confidential and free of charge. We provide an atmosphere that is informal and professional, where you can feel safe and comfortable seeking help.

Privacy-Preserving Federated Neural Architecture Search With Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Privacy-Preserving_Federated_Neural_Architecture_Search_With_Enhanced_Robustness_for_Edge_Computing.pdf

It enables a group of users to collaboratively train a shared global model [3] or multiple personalized models [12], [13], while keeping their local data private. Supposed that there are clients K = {e1, e2, . . . , e , and } each client k possesses a dataset k Nk {(xj, yj)} . In hori- e D := j=1

H-1b Frequently Asked Questions - International Student and Scholar ...

https://global.temple.edu/isss/faculty-staff-and-researchers/international-employees/h-1b-applicants/h-1b-frequently-asked-questions

Home H-1b Frequently Asked Questions About ISSS Student Resources Faculty, Staff and Researchers Hosting Departments Helpful Information Immigration Updates