https://sfs.temple.edu/financial-aid-types/grants/federal-supplemental-education-opportunity-grant-seog
Eligibility Criteria The federal Supplemental Equal Opportunity Grant (SEOG) is a campus-based limited fund provided by the U.S. Department of Education. Funding is awarded on a first-come, first-served basis, and we cannot guarantee it year to year. To qualify, you must meet the following criteria. A completed FAFSA submitted by the Feb. 1 priority deadline (must apply each year) Qualify for ...
https://bulletin.temple.edu/graduate/scd/medicine/
Lewis Katz School of Medicine (LKSOM) at Temple University, located on the Health Sciences Center campus, is dedicated to excellence in education, research and patient care achieved by faculty, staff and students who represent the diversity of society. LKSOM takes pride in the excellence of its teaching, research and service programs by:
https://igem.temple.edu/people/person/9618981a88ef50abe188884e7a511363
Big data are ubiquitous in genomics and evolutionary biology, at scales from personalized medicine to the global timetree of life. Research in my lab integrates mathematical, computational, and machine-learning techniques into evolutionary biology and biomedicine. We develop methods, models, software, and databases for researching species divergence, genetic diseases, viral spread, and tumor ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf
a major challenge for federated learning in diverse settings. Personalized Federated Learning (PFL), [Tan et al., 2022a] addresses these issues by allowing client-specific models that leverage global insights to enhance local outcomes. The main challenge in PFL lies in balancing global knowledge sharing with preserving client-specific information, making the trade- off an important research ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients Xiaoding Wang1 , Bin Ye1 , Li Xu1 , Sun-Yuan Hsieh2 , Jie Wu3;4 and Limei Lin1 1College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China 2Department of Computer ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/WENJUNJIANG2021TWeb.pdf
In online systems, including e-commerce platforms, many users resort to the reviews or comments generated by previous consumers for decision making, while their time is limited to deal with many reviews. Therefore, a review summary, which contains all important features in user-generated reviews, is expected. In this paper, we study “how to generate a comprehensive review summary from a ...
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/GreatMatrixIntro.pdf
There are numerous excellent texts on matrix algebra, so we will make little ef- fort to prove most of the results given below. For statistical applications, concise introductions can be found in the chapters on matrix methods in Johnson and Wichern (1988) and Morrison (1976), while Dhrymes (1978) and Searle (1982) pro- vide a more extended treatment. Wilf’s (1978) short chapter on matrix ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf
Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...