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 ...
https://cis.temple.edu/~wangp/5603-AI/Project/2022S/pattersonblaker/Ward_Patterson_Final_Report.pdf
1 Abstract Minecraft has been the focus of much AI research in past years. Most recently, interest has risen in procedural generation of settlements in Minecraft, largely due to a annual competition established in 2018 called the Generative Design in Minecraft Competition. Inspired by this recent research, we aim to develop a set of algorithms that are capable of building a realistic ...
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Hours Telephone: Monday–Thursday 8:30 a.m–5 p.m. and Friday 8:30 a.m.–1 p.m. How to Join the Appointment Queue Appointments are available in-person, via phone and via Zoom. Appointment times are available Monday–Thursday from 9 a.m. to 4:20 p.m., and on Friday from 9 to 11:40 a.m. Download the QLESS app for your smartphone.
https://cst.temple.edu/sites/cst/files/documents/SEM%20Stage%20FEI%20Quanta%20450FEG%20SEM.pdf
Stage movement Limits The motorised movements of the stage can be operated under software control for more advanced location mapping. This includes Shift, Get, Track and the Stage module functionality. A live image can be repositioned either by the stage movement (manual or software) or by the Beam Shift. The tilting mechanism can be locked for more stability at high magnifications using the ...
https://cis.temple.edu/~yu/research/PPGSpotter-info24.pdf
Abstract—Free weight training (FWT) is of utmost importance for physical well-being. However, the success of FWT depends heavily on choosing the suitable workload, as improper selections can lead to suboptimal outcomes or injury. Current workload estimation approaches rely on manual recording and special-ized equipment with limited feedback. Therefore, we introduce PPGSpotter, a novel PPG ...
https://cis.temple.edu/~wu/research/publications/Publication_files/10_bare_jrnl_compsoc.pdf
1.1 Motivation and Challenges Service provisioning and updating refers to the decision-making process of the locations of services within a specific edge computing network to balance the interests of service providers and consumers to achieve the greatest eficiency possible [7]. Numerous mobile devices and sensors in edge networks need to interface with services and exchange data in real-time ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...
https://foxonline.temple.edu/guides/canvas/question-banks/
What is a Question Bank? Quizzes can be created independently by adding your desired questions directly to a quiz you are creating from scratch, but if you would like to create a repository of assessment questions that can be re-used or mixed and matched for quizzes and exams in your courses, you may want to consider creating question banks in which to store a series of assessment questions ...
https://cis.temple.edu/~latecki/Courses/AI-Fall11/Lectures/ch7EL.ppt
If accuracy is 70% for each (.75)+5(.74)(.3)+ 10 (.73)(.32) 83.7% majority vote accuracy 101 such classifiers 99.9% majority vote accuracy Intuitions Note: Binomial Distribution: The probability of observing x heads in a sample of n independent coin tosses, where in each toss the probability of heads is p, is Ensemble Learning Another way of ...
https://cis.temple.edu/~yanwang/publications.html
Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, and Yingying Chen. "Universal targeted adversarial attacks against mmwave-based human activity recognition." In Network Security Empowered by Artificial Intelligence, pp. 177-211. Cham: Springer Nature Switzerland, 2024. New!