https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
Abstract—Along with the advance of low-altitude economy, a variety of applications based on Unmanned Aerial Vehicles (UAVs) have been developed to accomplish diverse tasks. In this paper, we focus on the scenario of multiple UAVs performing Federated Learning (FL) tasks. Specifically, a group of UAVs is scheduled to repeatedly visit some Points of Interest (PoIs), collect the data produced ...
https://sites.temple.edu/tudsc/2017/11/09/use-wordfish-for-ideological-scaling/
By Luling Huang In one of my previous posts Measuring Similarity Between Texts in Python, I talked about a basic technique to measure how similar two texts are. In this post, I explore a text analysis model called wordfish (Slapin & Proksch, 2008) to measure the ideological positions of a body of texts on a unidimensional scale. What Is wordfish About? The model was developed in political ...
https://community.mis.temple.edu/mis5214sec005spring2021/files/2020/03/MIS5214_Unit8_CaseStudy2_Maersk.pdf
Three-Two-One rule • Make 3 copies of all mission critical software and corresponding data in 2 different formats (to run on Linux and Windows machines), with 1 copy stored off-site not connected to any network Maersk had 50 copies of their mission critical software and corresponding data – all in the same format, all on the network
https://cis.temple.edu/~jiewu/research/publications/Publication_files/INFOCOM2024_PSFL%20Parallel-Sequential%20Federated%20Learning%20with%20Convergence%20Guarantees.pdf
Abstract—Federated Learning (FL) is a novel distributed learning paradigm which can coordinate multiple clients to jointly train a machine learning model by using their local data samples. Existing FL works can be roughly divided into two categories according to the modes of model training: Parallel FL (PFL) and Sequential FL (SFL). PFL can speed up each round of model training time through ...
https://cis.temple.edu/~pwang/NARS-Intro.html
NARS (Non-Axiomatic Reasoning System) is a project aimed at the building of a general-purpose intelligent system, i.e., a "thinking machine" (also known as " AGI "), that follows the same principles as the human mind, and can solve problems in various domains.
https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf
Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...
https://sites.temple.edu/pcrs/2020/06/05/misjudging-in-judging-the-role-of-cognitive-biases-in-shaping-judicial-decisions/
By Yunica Jiang, ‘20 (PDF Version) I. Introduction Commenting on Judge Persky’s six-month sentence for Brock Turner, Chanel Miller—known previously to the world as the victim “Emily Doe”—poses a question: “Instead of a nineteen-year-old Stanford athlete, let’s imagine a Hispanic nineteen-year-old working in the kitchen of the fraternity commits the same crime. Does this story ...
https://sites.temple.edu/lnaveen/files/2014/05/JFE_risktaking_2006.pdf
We provide empirical evidence of a strong causal relation between managerial compensa-tion and investment policy, debt policy, and firm risk. Controlling for CEO pay-performance sensitivity (delta) and the feedback effects of firm policy and risk on the managerial compensation scheme, we find that higher sensitivity of CEO wealth to stock volatility (vega) implements riskier policy choices ...
https://cis.temple.edu/~pwang/5603-AI/Project/2021S/Amend_Zach/Amend_Zach_FinalPresentation.pdf
Card Playing AI Bot Jack Amend and Cameron Zach CIS5603 Final Project Spring 2021
https://cis.temple.edu/~yu/research/HearBP-info24.pdf
Abstract—Continuous blood pressure (BP) monitoring using wearable devices has received increasing attention due to its importance in diagnosing diseases. However, existing methods mainly measure BP intermittently, involve some form of user effort, and suffer from insuficient accuracy due to sensor properties. In order to overcome these limitations, we study the BP measurement technology ...