Výsledky vyhledávání - Semi-asynchronous distributed algorithm*

'Semi-Asynchronous': A New Scheduler in Distributed Computing

Autoři: Cicerone S. Di Stefano G. Navarra A.

Zdroj: IEEE Access. 9:41540-41557

Témata: gathering, General Computer Science, mobile robots, Computational modeling, Distributed Algorithms, Distributed computing, Gathering, Mobile Robots, Robot kinematics, Robots, Standards, Synchronization, Task analysis, General Engineering, 0202 electrical engineering, electronic engineering, information engineering, Distributed algorithms, General Materials Science, 0102 computer and information sciences, 02 engineering and technology, synchronization, 01 natural sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09373406.pdf
https://dblp.uni-trier.de/db/journals/access/access9.html#CiceroneSN21
https://ieeexplore.ieee.org/document/9373406
https://research.unipg.it/handle/11391/1495728
https://www.openaccessrepository.it/record/141213
https://hdl.handle.net/11391/1495728
https://doi.org/10.1109/ACCESS.2021.3064880

Semi-asynchronous and distributed weighted connected dominating set algorithms for wireless sensor networks

Autoři: Erciyes K. Dagdeviren O. Tse S.

Zdroj: Computer Standards & Interfaces. 42:143-156

Témata: Backbone formation, Weighted connected dominating set, 0202 electrical engineering, electronic engineering, information engineering, Distributed approximation algorithm, 02 engineering and technology, 16. Peace & justice, Wireless sensor networks

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/csi/csi42.html#DagdevirenET15
https://doi.org/10.1016/j.csi.2015.05.005
https://www.sciencedirect.com/science/article/pii/S0920548915000677
http://netos.ube.ege.edu.tr/source/publications/csi15.pdf
https://hdl.handle.net/11454/17339
https://doi.org/10.1016/j.csi.2015.05.005

SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters

Autoři: Liu, Zhuqing Zhang, Xin Liu, Jia

Zdroj: Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. :151-160

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2208.08425

'Semi-Asynchronous': A New Scheduler for Robot Based Computing Systems

Autoři: Cicerone, Serafino Di Stefano, Gabriele Navarra, Alfredo

Zdroj: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)

Témata: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Distributed Algorithms, Mobile Robots, Obliviousness, Synchronization, Software, Hardware and Architecture, Computer Networks and Communications

Přístupová URL adresa: https://ieeexplore.ieee.org/document/8416290
https://doi.org/10.1109/ICDCS.2018.00027
https://research.unipg.it/handle/11391/1438301
https://dblp.uni-trier.de/db/conf/icdcs/icdcs2018.html#CiceroneSN18
https://hdl.handle.net/11391/1438301
https://ieeexplore.ieee.org/document/8416290
https://doi.org/10.1109/ICDCS.2018.00027
https://hdl.handle.net/11697/128056
https://doi.org/10.1109/ICDCS.2018.00027

Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network.

Autoři: Mei, Qiang Huang, Rui Li, Duo a další

Zdroj: Autonomous Intelligent Systems; 3/20/2025, Vol. 5 Issue 1, p1-14, 14p

Témata: FEDERATED learning, TELECOMMUNICATION satellites, DISTRIBUTED computing, SYNCHRONIZATION

SACW: Semi-Asynchronous Federated Learning with Client Selection and Adaptive Weighting.

Autoři: Li, Shuaifeng Shan, Fangfang Mao, Shiqi a další

Zdroj: Computers (2073-431X); Nov2025, Vol. 14 Issue 11, p464, 21p

Témata: FEDERATED learning, HETEROGENEITY

SAFL-KCS: federated learning methods based on client selection and semi-asynchronous communication.

Autoři: Shan, Fangfang Li, Shuaifeng Lu, Yanlong a další

Zdroj: Cluster Computing; 2025, Vol. 28 Issue 11, p1-15, 15p

Témata: FEDERATED learning, HETEROGENEITY, K-means clustering, MACHINE-to-machine communications

A Distributed Optimization Method for the Geographically Distributed Data Centres Problem

Autoři: Wahbi, Mohamed Grimes, Diarmuid Mehta, Deepak a další

Přispěvatelé: Wahbi, Mohamed Grimes, Diarmuid Mehta, Deepak a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783319597751

Témata: Data centre, Semi-asynchronous distributed algorithm, Distributed optimization method, Distributed constraint optimization framework, 0202 electrical engineering, electronic engineering, information engineering, DCOP, 0102 computer and information sciences, 02 engineering and technology, Virtual machine, 7. Clean energy, 01 natural sciences, 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: https://cora.ucc.ie/bitstream/10468/4548/1/2812.pdf
https://link.springer.com/chapter/10.1007/978-3-319-59776-8_12
https://doi.org/10.1007/978-3-319-59776-8_12
https://cora.ucc.ie/handle/10468/4548
http://doi.org/10.1007/978-3-319-59776-8_12
https://dblp.uni-trier.de/db/conf/cpaior/cpaior2017.html#WahbiGMBO17
http://hdl.handle.net/10468/4548

Dynamic density adaptive clustering and blockchain integration for efficient federated learning.

Autoři: Wang, Jinlong Yang, Xingtao Zhao, Haoran a další

Zdroj: Pattern Recognition Letters. Nov2025, Vol. 197, p267-273. 7p.

Témata: *FEDERATED learning, *BLOCKCHAINS, *CLUSTERING algorithms, *ROBUST optimization

Behave Differently when Clustering: A Semi-asynchronous Federated Learning Approach for IoT.

Autoři: Fan, Boyu Su, Xiang Tarkoma, Sasu a další

Zdroj: ACM Transactions on Sensor Networks; May2024, Vol. 20 Issue 3, p1-28, 28p

Témata: FEDERATED learning, MACHINE learning, DATA privacy, INTERNET of things, ASYNCHRONOUS learning, PROCESS capability, SUPERVISED learning

ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network.

Autoři: Ihekoronye, Vivian Ukamaka Nwakanma, Cosmas Ifeanyi Kim, Dong-Seong a další

Zdroj: International Journal of Machine Learning & Cybernetics; Nov2024, Vol. 15 Issue 11, p5303-5319, 17p

An efficient aggregation algorithm based on synchronous-asynchronous mechanism for federated learning.

Autoři: Mou, Yangcheng Chen, Aiwang Chen, Guirong a další

Zdroj: Scientific Reports; 11/19/2025, Vol. 15 Issue 1, p1-15, 15p

Témata: FEDERATED learning, COMPUTER performance

AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks

Autoři: Jianing Zheng Xiaolan Liu Zhuang Ling a další

Zdroj: IEEE Internet of Things Journal. 11:29673-29688

Efficient federated learning via aggregation of base models.

Autoři: Wang, Pan Zhong, Zhengyi Wang, Ji

Zdroj: PLoS ONE; 8/14/2025, Vol. 20 Issue 8, p1-23, 23p

Témata: FEDERATED learning, MACHINE learning, EVOLUTIONARY algorithms, DATA distribution, INFORMATION networks, PRIVACY

An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning

Autoři: Li, Yunbo Gui, Jiaping Wu, Yue

Témata: Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Performance, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Přístupová URL adresa: http://arxiv.org/abs/2405.16086

Joint device assignment and resource allocation for hierarchical semi-asynchronous federated learning over wireless networks.

Autoři: Fan, Wei Li, Jing

Zdroj: Cluster Computing; 2025, Vol. 28 Issue 8, p1-26, 26p

Behave Differently when Clustering: A Semi-asynchronous Federated Learning Approach for IoT

Autoři: Boyu Fan Xiang Su Sasu Tarkoma a další

Přispěvatelé: Boyu Fan Xiang Su Sasu Tarkoma a další

Zdroj: ACM Transactions on Sensor Networks. 20:1-28

Témata: Smart sensing, Computer and information sciences, Federated learning, 0202 electrical engineering, electronic engineering, information engineering, Deep learning, Edge computing, 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10138/591757

FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing.

Autoři: Ma, Qianpiao Xu, Yang Xu, Hongli a další

Zdroj: IEEE Journal on Selected Areas in Communications; Dec2021, Vol. 39 Issue 12, p3654-3672, 19p

Témata: HETEROGENEOUS computing, EDGE computing, ALGORITHMS, DATA transmission systems, ASYNCHRONOUS learning, MACHINE learning

Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network

Autoři: Qiang Mei Rui Huang Duo Li a další

Zdroj: Autonomous Intelligent Systems, Vol 5, Iss 1, Pp 1-14 (2025)

Témata: Federated learning system, Cloud-edge-client structure, Satellite network, Intelligent control strategy, Electronic computers. Computer science, QA75.5-76.95, Computer engineering. Computer hardware, TK7885-7895

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2730-616X

Přístupová URL adresa: https://doaj.org/article/71d8081c4b474273b3fe8d7f364b7fc2

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Autoři: Liu, Liang Zhai, Wenbin Wang, Feng a další

Témata: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Přístupová URL adresa: http://arxiv.org/abs/2308.11981