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While privacy concerns entice connected and automated vehicles to incorporate on-board federated learning (FL) solutions, an integrated vehicle-to-everything communication with heterogeneous computation power aware learning platform is…

The conventional approach of moving data to the CPU for computation has become a significant performance bottleneck for emerging scale-out data-intensive applications due to their limited data reuse. At the same time, the advancement in 3D…

The last few years have seen an explosion of academic and popular interest in algorithmic fairness. Despite this interest and the volume and velocity of work that has been produced recently, the fundamental science of fairness in machine…

Machine Learning · Computer Science 2018-10-23 Alexandra Chouldechova , Aaron Roth

Computing has become a major component of all particle physics experiments and in many areas of theoretical particle physics. Progress in HEP experiment and theory will require significantly more computing, software development, storage,…

High Energy Physics - Experiment · Physics 2013-11-12 Gregory Bell , Michael Ernst

The future mobile networks facing many challenges and to cope these challenges, different standards and project has been proposed so far. Most recently Cognitive Networks has opened a new ground to present suitable architecture and…

Networking and Internet Architecture · Computer Science 2018-01-09 Muhammad Bilal , Moonsoo Kang

Mobile Crowdsourcing (MC) is an effective way of engaging large groups of smart devices to perform tasks remotely while exploiting their built-in features. It has drawn great attention in the areas of smart cities and urban computing…

Social and Information Networks · Computer Science 2021-04-13 Aymen Hamrouni , Hakim Ghazzai , Turki Alelyani , Yehia Massoud

Federated learning has emerged recently as a promising solution for distributing machine learning tasks through modern networks of mobile devices. Recent studies have obtained lower bounds on the expected decrease in model loss that is…

In this research notebook in the four-part, quantum computation and applications, quantum computation and algorithms, quantum communication protocol, and universal quantum computation for quantum engineers, researchers, and scientists, we…

Quantum Physics · Physics 2021-01-07 Bhupesh Bishnoi

Today millions of mobile apps are downloaded and used all over the world. Guidelines and best practices on how to design and develop mobile apps are being periodically released, mainly by mobile platform vendors and researchers. They cover…

Software Engineering · Computer Science 2015-03-02 Mirco Franzago , Ivano Malavolta , Henry Muccini

Looking at the last decade, progress in technology has made a huge impact on our lifestyles. Enhanced use of mobile phones has provided a technological breakthrough, with the latest smartphones capturing the market. The word smartphone is…

Cryptography and Security · Computer Science 2016-02-19 Navdeep Kaur , Prabhsimran Singh

Mobile Edge Computing (MEC) has emerged as a solution to the high latency and suboptimal Quality of Experience (QoE) associated with Mobile Cloud Computing (MCC). By processing data near the source, MEC reduces the need to send information…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-30 Sohaib Ahmed , Hassan Khalid , Muhammad Hamza , Danyal Farhat

The sixth workshop on Mathematically Structured Functional Programming is devoted to the derivation of functionality from structure. It is a celebration of the direct impact of Theoretical Computer Science on programs as we write them…

Programming Languages · Computer Science 2016-04-04 Robert Atkey , Neelakantan Krishnaswami

Computation task service delivery in a computing-enabled and caching-aided multi-user mobile edge computing (MEC) system is studied in this paper, where a MEC server can deliver the input or output datas of tasks to mobile devices over a…

Information Theory · Computer Science 2018-07-17 Yaping Sun , Zhiyong Chen , Meixia Tao , Hui Liu

The ever-increasing demand from mobile Machine Learning (ML) applications calls for evermore powerful on-chip computing resources. Mobile devices are empowered with heterogeneous multi-processor Systems-on-Chips (SoCs) to process ML…

Machine Learning · Computer Science 2021-02-03 Siqi Wang , Anuj Pathania , Tulika Mitra

In multicellular organisms, cells coordinate their activities through cell-cell communication (CCC), which is crucial for development, tissue homeostasis, and disease progression. Recent advances in single-cell and spatial omics…

Quantitative Methods · Quantitative Biology 2026-03-24 Xiangzheng Cheng , Haili Huang , Ye Su , Qing Nie , Xiufen Zou , Suoqin Jin

Recent advancements in large artificial intelligence models (LAMs) are driving significant innovations in mobile edge computing within next-generation wireless networks. However, the substantial demands for computational resources and…

Machine Learning · Computer Science 2026-03-10 Song Gao , Songyang Zhang , Shusen Jing , Shuai Zhang , Xiangwei Zhou , Yue Wang , Zhipeng Cai

The 21st century society relies on computing systems more than ever. Computers are no longer simply machines that are used by organizations or at home. They are embedded everywhere, from cell phones to cars or industrial control devices,…

Software Engineering · Computer Science 2014-05-16 Alexander Romanovsky , Marc-Olivier Killijian

In this article, we explore various parallel and distributed computing topics from a user-centric software engineering perspective. Specifically, in the context of mobile application development, we study the basic building blocks of…

Software Engineering · Computer Science 2017-05-09 Konstantin Läufer , George K. Thiruvathukal

Recent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility. Vehicles, roadside units, and other road users can collaborate to deliver novel services and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-26 Ahmad Alhilal , Benjamin Finley , Tristan Braud , Dongzhe Su , Pan Hui

Motion segmentation is currently an active area of research in computer Vision. The task of comparing different methods of motion segmentation is complicated by the fact that researchers may use subtly different definitions of the problem.…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Pia Bideau , Erik Learned-Miller