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

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

Both challenges pertain to optimizing personalized feder-ated learning, yet their solutions don’t cross-apply. Parame-ter decoupling protects local knowledge to prevent forgetting but falls short on sharing global insights, thus struggling with generalization. On the other hand, prototype learning curbs overfitting and boosts generalization by sharing class proto-types, yet it misses ...

Personalized Mobile Targeting with User Engagement Stages: Combining a ...

https://www.fox.temple.edu/sites/fox/files/SHMM_isre.2018.0831.pdf

Abstract. Low engagement rates and high attrition rates have been formidable challenges to mobile apps and their long-term success, especially for those whose revenues derive mainly from in-app purchases. To date, little is known about how companies can sci-entifically detect user engagement stages and optimize corresponding personalized-targeting promotion strategies to improve business ...

Play-the-game Text Old - Temple University

https://community.mis.temple.edu/mis3537beaver2016/files/2016/04/GSCM_sim_manual.pdf

Introduction In this game, you are in charge of the product introduction of two models of mobile phones. You will manage the design, forecast the demand, and choose the production schedule for the two models over four years. Hopefully, your strategy for managing the supply chain will lead to successful commercialization of the new products.

FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework ...

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

These methods assign models based on device capabilities and use a semi-asynchronous ap-proach where the server aggregates the earliest received up-dates, bypassing the wait for all clients. This strategy better accommodates various devices and improves FL efficiency.

First-year International Students | Undergraduate Admissions ...

https://admissions.temple.edu/apply/international-students/first-year-international-students

Explore the application process as an international first-year applicant. If you’re a first-year applicant —meaning you are a student currently attending secondary school or high school—this is where you’ll gain more insight into Temple’s application process.

A Guide to Creating an Analytic Rubric – EDVICE EXCHANGE - Sites

https://sites.temple.edu/edvice/2023/09/18/a-guide-to-creating-an-analytic-rubric/

Dana Dawson, Ph.D. Rubrics are tools used by faculty to guide our assessment of student performance and to make our expectations transparent for students. Using a rubric can help make grading more efficient for faculty and fair for students, but when constructed well and shared along with assignment or activity descriptions, they also benefit student learning. Rubrics explicitly represent our ...

RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%207432%20Camera%20Ready%20Version.pdf

Abstract Model inversion and adversarial attacks in se-mantic communication pose risks, such as con-tent leaks, alterations, and prediction inaccuracies, which threaten security and reliability. This pa-per introduces, from an attacker’s viewpoint, a novel framework called RepObE (Representation Learning-Enhanced Obfuscation Encryption Mod-ular Semantic Task Framework) to secure semantic ...

Conditional Probability - Temple University

https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch3.pdf

5/36 5 The same result holds if B = “The first die is k” and 2 ≤ k ≤ 6. Carrying this reasoning further, we see that given the outcome lies in A, all five possibilities have the same probability. This should not be surprising. The original probabil-ity is uniform over the 36 possibilities, so when we condition on the occurrence of A, its five outcomes are equally likely.

Meet the Team - Temple University

https://cis.temple.edu/tagit/

We are the Temple AGI Team. We do research and experiments in the field of Artificial General Intelligence. Team meetings occur each Wednesday on Zoom. We welcome outside collaborators to get involved in various ways. Feel free to explore our various links & resources and contact us.

ECAI 2024 73 U. Endriss et al. (Eds.) © 2024 The Authors. of the ...

https://cis.temple.edu/~latecki/Papers/JoPanECAI2024.pdf

Addressing these gaps, we introduce the FlowLearn Dataset1, which includes both scientific and simulated flowcharts. The scien-tific subset features 3,858 flowcharts sourced from scientific liter-ature, annotated with captions (median length of 25 words) and in-figure text. The simulated subset consists of 10,000 flowcharts gener-ated from Mermaid code. This simulated subset enhances the ...