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- International Conference on Information and Knowledge Management (CIKM)
also: Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR @ CIKM) - International Symposium on Software Testing and Analysis (ISSTA)
- International Conference on Database and Expert Systems Applications (DEXA)
also: International Workshop on Grid and Peer-to Peer Computing Impacts on Large Scale Heterogeneous Distributed Database Systems (GLOBE @ DEXA) - USENIX Symposium on Operating Systems Design and Implementation (OSDI)
also: USENIX Workshop on Real, Large Distributed Systems (WORLDS @ OSDI) - International Workshop on Large-Scale Distributed Systems and Middleware (LADIS)
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Publication search results
found 1,173 matches
- 2024
- Eleni Vlachou, Aristeidis Karras, Christos N. Karras, Leonidas Theodorakopoulos, Constantinos Halkiopoulos, Spyros Sioutas:
Distributed Bayesian Inference for Large-Scale IoT Systems. Big Data Cogn. Comput. 8(1): 1 (2024) - Morteza Alinia Ahandani, Hamed Kharrati, Farzad Hashemzadeh, Mahdi Baradarannia:
Distributed switched model-based predictive control for distributed large-scale systems with switched topology. Int. J. Syst. Sci. 55(5): 980-1004 (2024) - Bo Wei, Yixing Hu, Chuangui Chen:
Coordination of large-scale systems with unknown external disturbances: an observer-based event-triggered control scheme. Int. J. Parallel Emergent Distributed Syst. 39(2): 248-263 (2024) - Biao Li, Ying Yang:
Data-Driven Optimal Distributed Fault Detection Based on Subspace Identification for Large-Scale Interconnected Systems. IEEE Trans. Ind. Informatics 20(2): 2497-2507 (2024) - Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CoRR abs/2401.04338 (2024) - Haotian Xu, Shuai Liu, Ling Shi:
High-Performance Distributed Control for Large-Scale Linear Systems: A Partitioned Distributed Observer Approach. CoRR abs/2402.06903 (2024) - Manas Kale, Paul G. Kry:
Distributed Simulation of Large Multi-body Systems. CoRR abs/2403.17261 (2024) - 2023
- Abdullah Al-Mamun:
Resource-efficient Blockchains for Reliable Data Management in Large-scale Distributed Systems. University of Nevada, Reno, USA, 2023 - Mengran Li, Yang Yu, Huabo Liu:
Distributed Finite-Time Boundedness Control for Large-Scale Networked Dynamic Systems. IEEE Access 11: 74839-74854 (2023) - Mingyan Zhu, Rui Wang, Xiaodong Miao, Tianju Sui:
Accuracy analysis for distributed dynamic state estimation in large-scale systems with a cyclic network graph. Sci. China Inf. Sci. 66(9) (2023) - Marcello Farina, Marco Rocca:
A novel distributed algorithm for estimation and control of large-scale systems. Eur. J. Control 72: 100820 (2023) - Andrea Giusti, Gian Carlo Maffettone, Davide Fiore, Marco Coraggio, Mario di Bernardo:
Distributed control for geometric pattern formation of large-scale multirobot systems. Frontiers Robotics AI 10 (2023) - Long Cheng, Cong Liu, Qingtian Zeng:
Optimal alignments between large event logs and process models over distributed systems: An approach based on Petri nets. Inf. Sci. 619: 406-420 (2023) - Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems. J. Parallel Distributed Comput. 180: 104715 (2023) - Retraction Note: Large-Scale Data Recommended Regulate Algorithm Based on Distributed Intelligent System Model under Cloud Environment. Mob. Networks Appl. 28(1): 434 (2023)
- Daan Rutten, Martin Zubeldia, Debankur Mukherjee:
Distributed Rate Scaling in Large-Scale Service Systems. SIGMETRICS Perform. Evaluation Rev. 51(2): 21-23 (2023) - Salam Hamdan, Sufyan Almajali, Moussa Ayyash, Haythem Bany Salameh, Yaser Jararweh:
An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber-physical systems. Simul. Model. Pract. Theory 122: 102685 (2023) - Huayi Wu, Zhao Xu, Youwei Jia, Xu Xu:
Adaptive Distributed Graph Model for Multiple-Line Outage Identification in Large-Scale Power System. IEEE Syst. J. 17(2): 3127-3137 (2023) - Tao Yu, Jun Song, Liang Zhang, Shuping He:
$H_{2}$ Performance Analysis and Distributed $H_{2}$ Control of Interconnected Large-Scale Systems. IEEE Trans. Control. Netw. Syst. 10(4): 1805-1817 (2023) - Rodrigo Farias Araujo, Leonardo A. B. Torres, Reinaldo Martinez Palhares:
Plug-and-Play Distributed Control of Large-Scale Nonlinear Systems. IEEE Trans. Cybern. 53(4): 2062-2073 (2023) - Minh N. H. Nguyen, Shashi Raj Pandey, Nguyen Dang Tri, Eui-Nam Huh, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong:
Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10698-10710 (2023) - Xiuqi Huang, Yuanning Gao, Xinyi Zhou, Xiaofeng Gao, Guihai Chen:
An Adaptive Metadata Management Scheme Based on Deep Reinforcement Learning for Large-Scale Distributed File Systems. IEEE/ACM Trans. Netw. 31(6): 2840-2853 (2023) - Weijian Zheng, Dali Wang, Fengguang Song:
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems. ACM Trans. Parallel Comput. 10(2): 6:1-6:23 (2023) - Xiaohui Duan, Qi Shao, Junben Weng, Bertil Schmidt, Lin Gan, Guohui Li, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang:
Bio-ESMD: A Data Centric Implementation for Large-Scale Biological System Simulation on Sunway TaihuLight Supercomputer. IEEE Trans. Parallel Distributed Syst. 34(3): 881-893 (2023) - Shuyu Ding, Zhuyuan Li, Ying Yang:
Distributed Fault Detection for Large-Scale Systems Based on Adaptive Approximation. SAFEPROCESS 2023: 1-6 - Biao Li, Ying Yang:
Subspace identification for distributed fault diagnosis of large-scale interconnected systems. SAFEPROCESS 2023: 1-6 - Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CIKM 2023: 4365-4369 - Andrea Francesco Abate, Aniello Castiglione, Lucia Cimmino, Davide De Angelis, Sara Flauto, Alberto Volpe:
On the (in)Security and Weaknesses of Commonly Used Applications on Large-Scale Distributed Systems. CSCS 2023: 572-579 - Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu:
AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. DASFAA (4) 2023: 477-489 - Rabayet Sadnan, Anamika Dubey:
Distributed Computing for Scalable Optimal Power Flow in Large Radial Electric Power Distribution Systems with Distributed Energy Resources. HICSS 2023: 2671-2680
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