https://cis.temple.edu/~wu/research/publications/Publication_files/zhangweitc.pdf
Index Terms—Cloud computing, ranked keyword search, multiple owners, privacy preserving, dynamic secret key
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/~latecki/Papers/Quan_DRBANET_ICIP_2022.pdf
ABSTRACT Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the benefit of boundary information. This paper introduces a lightweight dual-resolution network, called DRBANet, aim-ing to refine semantic segmentation results with the aid of boundary information. DRBANet also ...
https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf
Abstract—In edge networks, distributed computing resources have been widely utilized to collaboratively perform a machine learning task by multiple nodes. However, the model training time in heterogeneous edge networks is becoming longer because of excessive computation and delay caused by slow nodes, namely stragglers. The parameter server even abandons stragglers which fail to return ...
https://sites.temple.edu/xifanwu/files/2020/10/2017.PRB_.Comparative-first-principles-studies-of-prototypical-ferroelectric-materials-by-LDA-GGA-and-SCAN-meta-GGA.pdf
Comparative first-principles studies of prototypical ferroelectric materials by LDA, GGA, and SCAN meta-GGA Comparative first-principles studies of prototypical ferroelectric materials by LDA, GGA, and SCAN meta-GGA
https://cis.temple.edu/~lakaemper/courses/cis350_2004/etc/moeller_triangle.pdf
1 Introduction Most collision detection algorithms, such as OBBTree [Gottschalk96], sphere hier-archies [Hubbard96] and BV-trees [Klosowski97], try to minimize the number of primitive-primitive intersections that have to be computed. Still, a fast and reliable method for computing the primitive-primitive intersection is desired. Since render-ing hardware is often targeted for triangles, the ...
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch2.pdf
10 · 9 C10,8(0.6)8(0.4)2 = (0.6)8(0.4)2 = 0.1209 1 · 2 In the same way we can compute the other probabilities. The results are given in Figure 2.2. With a TI-83 calculator these answers can be found by going to the DISTR menu and using binompdf(10,0.25,k). Here pdf is short for probability density function. Example 2.16. Aces at Bridge.
https://cis.temple.edu/~wu/research/publications/Publication_files/Topology-Aware_Scheduling_Framework_for_Microservice_Applications_in_Cloud.pdf
Abstract—Loosely coupled and highly cohesived microservices running in containers are becoming the new paradigm for application development. Compared with monolithic applications, applications built on microservices architecture can be deployed and scaled independently, which promises to simplify software development and operation. However, the dramatic increase in the scale of microservices ...
https://cis.temple.edu/~latecki/Papers/CIDM07.pdf
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outliers have to be detected from data streams that arrive at an enormous pace. In this paper, an incremental LOF (Local Outlier Factor) algorithm, appropriate for detecting outliers in data streams, is proposed ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...