https://cis.temple.edu/~yu/research/Icanhearyou-INFOCOM2023.pdf
Abstract—Recent literature advances motion sensors mounted on smartphones and AR/VR headsets to speech eavesdropping due to their sensitivity to subtle vibrations. The popularity of mo-tion sensors in earphones has fueled a rise in their sampling rate, which enables various enhanced features. This paper investigates a new threat of eavesdropping via motion sensors of earphones by developing ...
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 ...
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https://sites.temple.edu/yangyang/files/2024/10/Yang-CV-2024-Chinese.pdf
期刊客座主编 专刊“Application of Geospatial Big Data in Tourism Research” for Applied Spatial Analysis and Policy (SSCI 索引刊物) 专刊“Technological Revolution, Digital Economy and Tourism Economics” for Tourism Economics (SSCI 索引刊物) 专刊合集“Tourism and Coronavirus” for Annals of Tourism Research (SSCI 索引刊物) 专刊“Spatial Economics and Tourism ...
https://charlesstudy.temple.edu/
Book a Room or Space Welcome to the Charles Library study room and space reservation system. This system allows Temple affiliates to reserve private study rooms on the third or fourth floors of Charles Library. Please make your reservation online. Rooms are unlocked. Room bookings are limited to a single 2-hour reservation per patron, per day. You may reserve a room up to 72 hours in advance ...
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://cis.temple.edu/ieeemass2023/
ABOUT IEEE MASS 2023 IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the ...
https://medicine.temple.edu/sites/medicine/files/files/skyscan_1172_introduction.pdf
THE SKYSCAN 1172 MICROCT INTRODUCTION Principles of operation: Briefly, the system obtains multiple x-ray “shadow” transmission images of the object from multiple angular views as the object rotates on a high-precision stage. From these shadow images, cross-section images of the object are reconstructed using a modified Feldkamp cone-beam algorithm, creating a complete 3D representation of ...
https://scholarshare.temple.edu/bitstream/handle/20.500.12613/719/Badura_temple_0225E_10282.pdf
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