Výsledky vyhľadávania - "Servers"

Hierarchical Federated ADMM

Autori: Azimi Abarghouyi, Seyed Mohammad Bastianello, Nicola Johansson, Karl H. a ďalší

Zdroj: IEEE NETWORKING LETTERS. 7(1):11-15

Predmety: Servers, Convex functions, Optimization, Linear programming, Privacy, Vectors, Training, Federated learning, Computational modeling, Accuracy, Machine learning, distributed optimization, ADMM, hierarchical networks

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-373461
https://doi.org/10.1109/lnet.2025.3527161

FPSelector: A Flexible Path Selector for Mobile Augmented Reality Offloading

Autori: Zhu, Yuanwei Huang, Yakun Qiao, Xiuquan a ďalší

Zdroj: IEEE Transactions on Mobile Computing. 24(9):8423-8440

Predmety: Feature extraction, Three-dimensional displays, Navigation, Dynamic scheduling, Cameras, Servers, Pose estimation, Mobile computing, Mars, Computational modeling, Mobile augmented reality, computation offloading, multipath transport, reinforcement learning, resource-awareness, Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106772
https://doi.org/10.1109/TMC.2025.3556473

Integrating Time Series Anomaly Detection Into DevOps Workflows

Autori: Kånåhols, Gustav Hasan, Shahriar Erik Strandberg, Per

Zdroj: IEEE Access. 13:46459-46477

Predmety: Anomaly detection, Time series analysis, DevOps, Classification algorithms, Measurement, Software, Monitoring, Training data, Servers, Machine learning algorithms, deep learning, machine learning

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-70992
https://doi.org/10.1109/ACCESS.2025.3550665

Real-Time Status Update System in a Parallel Blocking Queue

Autori: Chen, Zhengchuan Zhu, Junyao Pappas, Nikolaos a ďalší

Zdroj: IEEE Open Journal of the Communications Society. 6:4608-4623

Predmety: Servers, Monitoring, Queueing analysis, Real-time systems, Information age, Receivers, Out of order, Measurement, Transportation, Mathematical models, Age of information, stochastic hybrid system, multi-path transmission, non-preemptive

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-214932
https://doi.org/10.1109/OJCOMS.2025.3572613

Age Analysis of Critical Information in Internet of Vehicle Networks With Service Confluence

Autori: Chen, Zhengchuan Yang, Tianqing Fang, Shuyang a ďalší

Zdroj: IEEE Open Journal of the Communications Society. 6:2556-2565

Predmety: Servers, Delays, Measurement, Internet of Vehicles, Autonomous vehicles, Sensors, Reliability, Information age, Vehicle dynamics, Connected vehicles, Internet of vehicles, connected and autonomous vehicles, age of information, service confluence

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213467
https://doi.org/10.1109/OJCOMS.2025.3556411

DLA-FCIL: Federated Class-Incremental Learning for Dynamic Data with Forgetting Compensation and Auxiliary Generators.

Autori: Xing, Bowen Le, Junqing Zhang, Di a ďalší

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence. Jul2025, Vol. 39 Issue 9, p1-29. 29p.

Predmety: MACHINE learning, PROXY servers, LOCAL knowledge, CONSTRUCTION cost estimates, DYNAMIC models

Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model

Autori: Gabriel Jimenez-Perera Brayan Valencia-Vidal Niceto R. Luque a ďalší

Zdroj: IEEE Robotics and Automation Letters. 10:11022-11029

Predmety: Distributed databases, Collaborative robots, Data sets for robot learning, Deep learning methods, Intellectual property, Data models, Federated learning, Trajectory, Training, Servers, Robots, Data privacy

Prístupová URL adresa: https://hdl.handle.net/10481/106390

Design and implementation of a tool to improve error reporting for eBPF code

Autori: Rizza, Rosario Sisto, Riccardo Valenza, Fulvio

Zdroj: 2025 IEEE International Conference on Cyber Security and Resilience (CSR). :214-219

Predmety: Codes, Source coding, Pipelines, Control systems, Security, Servers, Kernel, Observability, Monitoring, Resilience, vulnerabilities, error reporting, code security, eBPF

Popis súboru: application/pdf

Datavzrd: Rapid programming- and maintenance-free interactive visualization and communication of tabular data.

Autori: Wiegand, Felix Lähnemann, David Mölder, Felix a ďalší

Zdroj: PLoS ONE. 7/22/2025, Vol. 20 Issue 7, p1-18. 18p.

Predmety: *WEB-based user interfaces, *INTERNET servers, *COMPUTER software installation, *MULTIPLE scattering (Physics), *DATA transmission systems, *SOFTWARE maintenance

Over-the-Air Federated Learning via Weighted Aggregation

Autori: Azimi Abarghouyi, Seyed Mohammad Tassiulas, Leandros

Zdroj: IEEE Transactions on Wireless Communications. 23(12):18240-18253

Predmety: Wireless networks, Servers, Transmitters, Resource management, Receivers, Performance evaluation, Convergence, Federated learning, machine learning, fading multiple access channel, over-the-air computation, analog communications

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-358712
https://doi.org/10.1109/TWC.2024.3463754

Blind Federated Learning via Over-the-Air q-QAM

Autori: Razavikia, Saeed Barros da Silva Jr., José Mairton, Dr. Fischione, Carlo

Zdroj: IEEE Transactions on Wireless Communications. 23(12):19570-19586

Predmety: Fading channels, Wireless networks, Data models, Computational modeling, Antennas, Quadrature amplitude modulation, Convergence, Servers, Numerical models, Blind federated learning, digital modulation, federated edge learning, over-the-air computation

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-358611
https://doi.org/10.1109/TWC.2024.3485117

Compute-Update Federated Learning: A Lattice Coding Approach

Autori: Azimi-Abarghouyi, Seyed Mohammad Varshney, Lav R.

Zdroj: IEEE Transactions on Signal Processing. 72:5213-5227

Predmety: Wireless networks, Servers, Lattices, Quantization (signal), Interference, Measurement, Decoding, Codes, Power control, Computational modeling, Federated learning, machine learning, over-the-air computation, lattice codes, digital communications

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-357068
https://doi.org/10.1109/TSP.2024.3491993

Optimizing Structural Health Monitoring Systems Through Integrated Fog and Cloud Computing Within IoT Framework

Autori: Hassan, Muhammad Hussein, Ali Nassr, Amr A. a ďalší

Zdroj: IEEE Access. 12:89628-89646

Predmety: Monitoring, Servers, Feature extraction, Cloud computing, Accelerometers, Internet of Things, Shape, Edge computing, Biomedical monitoring, Sampling methods, Synchronization, fog computing, hybrid IoT solutions, structural health monitoring system, synchronized sampling, cellular internet

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-350877
https://doi.org/10.1109/ACCESS.2024.3419028

Optimal Service Caching and Pricing in Edge Computing: a Bayesian Gaussian Process Bandit Approach

Autori: Tutuncuoglu, Feridun Dán, György

Zdroj: IEEE Transactions on Mobile Computing. 23(1):705-718

Predmety: Computational modeling, Costs, Games, Gaussian processes, Pricing, Servers, Task analysis, computation offloading, Computer games, Computer programming, Gaussian distribution, Gaussian noise (electronic), Learning algorithms, Optimization, Polynomial approximation, Bayesian Gaussian process, Cache placement, Computational modelling, Dynamic environments, Edge computing, Game, Programming abstractions

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-328948
https://doi.org/10.1109/TMC.2022.3221465

Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning

Autori: Maritan, Alessio Schenato, Luca Dey, Subhrakanti

Zdroj: IEEE Open Journal of Control Systems. 3:173-189

Predmety: Optimization, Approximation algorithms, Federated learning, Closed box, Servers, Finite difference methods, Linear programming, Data privacy, estimation

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-540663
https://doi.org/10.1109/OJCSYS.2024.3388374

Decentralized and Incentivized Federated Learning: A Blockchain-Enabled Framework Utilising Compressed Soft-Labels and Peer Consistency

Autori: Witt, Leon Zafar, Usama Shen, Kuoyeh a ďalší

Zdroj: IEEE Transactions on Services Computing. 17(4):1449-1464

Predmety: Blockchains, Servers, Predictive models, Training, Computational modeling, Computer architecture, Smart contracts, Federated learning, blockchain, reward mechanism, federated distillation, decentralized machine learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-537263
https://doi.org/10.1109/TSC.2023.3336980

Shedding light on U.S. small and midsize data centers: Exploring insights from the CBECS survey

Autori: Lei, Nuoa Ganeshalingam, Mohan Masanet, Eric a ďalší

Predmety: Built Environment and Design, Architecture, Affordable and Clean Energy, Data Centers, Servers, Cooling, Energy Policy, Information and Communication Technology, Engineering, Building & Construction, Built environment and design

Prístupová URL adresa: https://escholarship.org/uc/item/3qj3j2wv

Latency Fairness for MEC-Enabled Cell-Free Massive MIMO: ICA- and AI-Based Approaches

Autori: Hieu V. Nguyen Van-Phuc Bui Mai T. P. Le a ďalší

Zdroj: Nguyen, H V, Bui, V-P, Le, M T P, Nguyen-Duy-Nhat, V, Nguyen-Le, H & Tran, N H 2025, 'Latency Fairness for MEC-Enabled Cell-free massive MIMO : ICA-and AI-based Approaches', IEEE Communications Letters, vol. 29, no. 8, pp. 1963-1967. https://doi.org/10.1109/LCOMM.2025.3581730

Predmety: Optimization, Artificial intelligence, Resource management, Cell-free, Scalability, resource allocation, Fading channels, Servers, Vectors, Convolutional neural networks, obile edge computing, ICA, mobile edge computing, Massive MIMO, CNN, Data communication, latency

Popis súboru: application/pdf

Prístupová URL adresa: https://vbn.aau.dk/ws/files/785419171/Accepted_Author_Manuscript.pdf
https://doi.org/10.1109/LCOMM.2025.3581730
http://www.scopus.com/inward/record.url?scp=105009015316&partnerID=8YFLogxK
https://vbn.aau.dk/da/publications/9695873e-34dd-4a89-bc91-26e107f9926e

Enabling Next-Generation Cloud-Connected Bionic Limbs Through 5G Connectivity

Autori: Karaali, Ozan Farag, Hossam Dosen, Strahinja a ďalší

Zdroj: Karaali, O, Farag, H, Dosen, S & Stefanovic, C 2025, 'Enabling Next-Generation Cloud-Connected Bionic Limbs Through 5G Connectivity', IEEE Internet of Things Magazine, vol. 8, no. 4, pp. 45-51. https://doi.org/10.1109/IOTM.001.2400268

Predmety: Prosthetic limbs, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, People with disabilities, User experience, Time factors, Internet of Things, Wireless communication, Servers, Edge computing, Reliability, Biomimetics, Networking and Internet Architecture, Limbs, 5G mobile communication, Human-machine systems, Cloud computing

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2506.11744

'Two-Stagification': Job Dispatching in Large-Scale Clusters via a Two-Stage Architecture

Autori: mert yildiz alexey rolich andrea baiocchi

Zdroj: 2025 23rd Mediterranean Communication and Computer Networking Conference (MedComNet). :1-6

Predmety: Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Performance, Computer Science - Distributed, Parallel, and Cluster Computing, Data centers, Dispatching, Scheduling, Multiple parallel servers, Real-world workload, Large-Scale multiserver system, Workload traffic measurements, Distributed, Parallel, and Cluster Computing (cs.DC)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2505.03032
https://hdl.handle.net/11573/1741139
https://doi.org/10.1109/MedComNet65822.2025.11103543