Suchergebnisse - "Asynchronous optimization algorithms"

Asynchronous Optimization Algorithms for the Enhancement of Lifetime in WSNs

Autoren: Abdullah Alamri Abdullah Alshahrani Ahmed S. Alghamdi et al.

Quelle: Journal of Communications.

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://www.jocm.us/uploadfile/2017/1124/20171124043346450.pdf
https://dblp.uni-trier.de/db/journals/jcm/jcm12.html#AlshahraniAAAA17

Real-Time Optimization in Complex Stochastic Environment

Autoren: Cassandras, Christos G BOSTON UNIV MA

Weitere Verfasser: Cassandras, Christos G BOSTON UNIV MA

Quelle: DTIC

Schlagwörter: Statistics and Probability, Computer Programming and Software, ASYNCHRONOUS SYSTEMS, MULTIAGENT SYSTEMS, STOCHASTIC PROCESSES, ALGORITHMS, DECOMPOSITION, EFFICIENCY, GRADIENTS, HYBRID SYSTEMS, MATHEMATICAL MODELS, NETWORK ARCHITECTURE, ONLINE SYSTEMS, OPTIMIZATION, PARALLEL PROCESSING, PERTURBATIONS, SCALING FACTOR, SYSTEMS ENGINEERING, TRAJECTORIES, UNCERTAINTY, DISTRIBUTED OPTIMIZATION ALGORITHMS, ASYNCHRONOUS OPTIMIZATION ALGORITHMS, EVENT-DRIVEN OPTIMIZATION, SIMULATION-BASED OPTIMIZATION, PERTURBATION ANALYSIS, STOCHASTIC HYBRID SYSTEMS

Dateibeschreibung: text/html

Relation: http://www.dtic.mil/docs/citations/ADA623572

Verfügbarkeit: http://www.dtic.mil/docs/citations/ADA623572
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA623572

Performance Optimization of Complex Systems

Autoren: Cassandras, Christos G. BOSTON UNIV MA

Weitere Verfasser: Cassandras, Christos G. BOSTON UNIV MA

Quelle: DTIC

Schlagwörter: Theoretical Mathematics, Radio Communications, PERTURBATION THEORY, SYSTEMS APPROACH, COMMUNICATIONS NETWORKS, STOCHASTIC PROCESSES, SOLUTIONS(GENERAL), SELF OPERATION, REAL TIME, OPTIMIZATION, ALGORITHMS, MATHEMATICAL MODELS, DISTRIBUTION, DISTRIBUTED OPTIMIZATION ALGORITHMS, ASYNCHRONOUS OPTIMIZATION ALGORITHMS, AUTONOMOUS AGENTS, COOPERATIVE SYSTEMS, CTDA(CRITICAL TASK DECOMPOSITION ALGORITHM), PERTURBATION ANALYSIS, STOCHASTIC FLUID MODELS, VDA(VIRTUAL DEADLINE ALGORITHM), TIME-CRITICAL SYSTEMS

Dateibeschreibung: text/html

Relation: http://www.dtic.mil/docs/citations/ADA495123

Verfügbarkeit: http://www.dtic.mil/docs/citations/ADA495123
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA495123

Asynchronous First-Order Algorithms for Large-Scale Optimization : Analysis and Implementation

Autoren: Aytekin, Arda

Index Begriffe: convex, optimization, asynchronous, algorithms, parallel, distributed, large-scale, big data, software, serverless, Control Engineering, Reglerteknik, Doctoral thesis, monograph, info:eu-repo/semantics/doctoralThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245995
TRITA-EECS-AVL ; 2019:6

Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization

Autoren: Marina Costantini Nikolaos Liakopoulos Panayotis Mertikopoulos et al.

Quelle: IEEE Transactions on Automatic Control. 70:5349-5364

Schlagwörter: I.2.11, I.2.6, Optimization and Control (math.OC), G.1.6, C.2.4, FOS: Mathematics, Mathematics - Optimization and Control, 90C25, 68T99

Zugangs-URL: http://arxiv.org/abs/2504.19004

Optimal convergence rates of totally asynchronous optimization

Autoren: Wu, Xuyang Magnússon, Sindri Reza Feyzmahdavian, Hamid et al.

Index Begriffe: Optimization and Control (math.OC), FOS: Mathematics, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-213610
IEEE Conference on Decision and Control. Proceedings, 0743-1546
2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, p. 6484-6490

Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization

Autoren: Costantini, Marina Liakopoulos, Nikolaos Mertikopoulos, Panayotis et al.

Index Begriffe: Mathematics - Optimization and Control, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Machine Learning, 90C25, 68T99, G.1.6, I.2.11, I.2.6, C.2.4, text

URL: http://arxiv.org/abs/2207.07543

Improved Asynchronous Federated Learning for Data Injection Pollution.

Autoren: Li, Aiyou Li, Huoyou Liu, Yanfang et al.

Quelle: Algorithms; Jun2025, Vol. 18 Issue 6, p313, 17p

Schlagwörter: FEDERATED learning, MACHINE learning, CAPSULE neural networks, DATA augmentation, ASYNCHRONOUS learning, FEATURE extraction

Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives.

Autoren: Różycki, Rafał Solarska, Dorota Agnieszka Waligóra, Grzegorz

Quelle: Energies (19961073); Jun2025, Vol. 18 Issue 11, p2810, 33p

Schlagwörter: MACHINE learning, ARTIFICIAL intelligence, INFORMATION technology industry, ENERGY consumption, MANUFACTURING processes

A Distributed Asynchronous Generalized Momentum Algorithm Without Delay Bounds

Autoren: Pond, Ellie Zhao, Yichen Hale, Matthew

Schlagwörter: Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics

Zugangs-URL: http://arxiv.org/abs/2508.08218

Asynchronous Federated Learning: Methods and applications

Autoren: Yifan Liu

Quelle: Applied and Computational Engineering. 39:122-129

Differential Privacy Federated Learning: A Comprehensive Review.

Autoren: Fangfang Shan Shiqi Mao Yanlong Lu et al.

Quelle: International Journal of Advanced Computer Science & Applications; Jul2024, Vol. 15 Issue 7, p220-230, 11p

A Robust Asynchronous Newton Method for Massive Scale Computing Systems

Autoren: Desell, Travis Magdon-Ismail, Malik Newberg, Heidi et al.

Index Begriffe: Computer Science - Distributed, Parallel, and Cluster Computing, text

URL: http://arxiv.org/abs/1702.02204

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction

Autoren: Huo, Zhouyuan Gu, Bin Huang, Heng

Index Begriffe: Computer Science - Machine Learning, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/1609.06804

Asynchronous Robust Aggregation Method with Privacy Protection for IoV Federated Learning.

Autoren: Zhou, Antong Jiang, Ning Tang, Tong

Quelle: World Electric Vehicle Journal; Jan2024, Vol. 15 Issue 1, p18, 16p

Schlagwörter: ASYNCHRONOUS learning, DATA privacy, FEDERATED learning, PRIVACY, TIME delay estimation

Composite optimization with coupling constraints via dual proximal gradient method with applications to asynchronous networks.

Autoren: Wang, Jianzheng Hu, Guoqiang

Quelle: International Journal of Robust & Nonlinear Control; 5/25/2022, Vol. 32 Issue 8, p4752-4770, 19p

Schlagwörter: ELECTRICITY markets, COST functions, COMPUTATIONAL complexity, SOCIAL services, SMOOTHNESS of functions, ALGORITHMS, SENSOR networks

Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering.

Autoren: Paliwal, Charul Bhatt, Uttkarsha Biyani, Pravesh et al.

Quelle: IEEE Transactions on Intelligent Transportation Systems; May2022, Vol. 23 Issue 5, p4674-4684, 11p

Escaping Saddle Points for Successive Convex Approximation.

Autoren: Bedi, Amrit Singh Rajawat, Ketan Aggarwal, Vaneet et al.

Quelle: IEEE Transactions on Signal Processing; 2022, Vol. 70, p307-321, 15p

Schlagwörter: MULTIDIMENSIONAL scaling, PATTERN recognition systems, RANDOM forest algorithms, MACHINE learning, APPROXIMATION algorithms

Practical Precoding via Asynchronous Stochastic Successive Convex Approximation.

Autoren: Idrees, Basil M. Akhtar, Javed Rajawat, Ketan

Quelle: IEEE Transactions on Signal Processing; 11/15/2021, p4177-4191, 15p

Schlagwörter: WIRELESS sensor networks, ALGORITHMS, CONVEX functions, SIGNAL processing, RESOURCE allocation

The Cost of Privacy in Asynchronous Differentially-Private Machine Learning.

Autoren: Farokhi, Farhad Wu, Nan Smith, David et al.

Quelle: IEEE Transactions on Information Forensics & Security; 2021, Vol. 16, p2118-2129, 12p