https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedHAN.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://admissions.temple.edu/apply/international-students
What type of international student are you? When you apply as an international student, you fall into one of two categories—a first-year applicant or a transfer applicant.
https://cst.temple.edu/news/2023/05/biotech-entrepreneur-vaccine-leader-charles-tsan-jian-chen-receive-honorary-degree-cst-graduation-ceremony
Charles Tsan-Jian Chen, a world leader and entrepreneur in the biotech industry with more than four decades of accomplishments in developing, producing and implementing forefront vaccine and diagnostic technologies benefiting human and animal health, will be awarded an honorary doctoral degree from Temple University at the College of Science and Technology's graduation ceremony on Friday, May ...
https://hope.temple.edu/sites/hope/files/media/document/Digital%20Mental%20Health%20Interventions_5.29.2024.pdf
This guide is intended to help higher education leaders make informed decisions about selecting DMHIs. DMHIs refer to the use of digital technologies for mental health support, prevention, and treatment. DMHIs provide behavioral and psychological strategies through technological features, including websites, mobile applications (“apps”), wearables, virtual reality, and online platforms.
https://cis.temple.edu/~latecki/Courses/CIS166-Fall06/Lectures/ch8.3-8.4.ppt
Representing Graphs Representing Graphs Definition: Let G = (V, E) be a simple graph with |V| = n. Suppose that the vertices of G are listed in arbitrary order as v1, v2, …, vn. The adjacency matrix A (or AG) of G, with respect to this listing of the vertices, is the n n zero-one matrix with 1 as its (i, j) entry when vi and vj are adjacent, and 0 otherwise. In other words, for an adjacency ...
https://cis.temple.edu/~he/publications/Conferences/PEPausing-FAST12.pdf
Abstract In NAND flash memory, once a page program or block erase (P/E) command is issued to a NAND flash chip, the subsequent read requests have to wait until the time-consuming P/E operation to complete. Preliminary re-sults show that the lengthy P/E operations may increase the read latency by 2x on average. As NAND flash-based SSDs enter the enterprise server storage, this in-creased read ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
To circumvent the above challenges, we introduce the Mean-Field Game (MFG) theory [29] to reduce a one-to-many game to a one-to-one game and further propose a joint MFG framework for mobile edge Caching and Pricing, namely MFG-CP, where each EDP can optimize its own utility in a distributed manner.
https://sites.temple.edu/nsfcareerakt/files/2022/01/Ding-et-al._Jan7_2022_OnlineFirsts.pdf
Abstract This study aims to explore teacher noticing diferences of the sampled US and Chinese elementary teachers from cross-cultural mathematics videos. A total of 34 expert teach-ers commented on 25 video clips online. We coded what and how teachers noticed from the videos both quantitatively and qualitatively. Findings reveal teachers’ strong interests and profound reflections, especially ...
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 ...