Výsledky vyhľadávania - Computer Science - Distributed

Distributed Quantum Advantage for Local Problems

Autori: Alkida Balliu Sebastian Brandt Xavier Coiteux-Roy a ďalší

Prispievatelia: Alkida Balliu Sebastian Brandt Xavier Coiteux-Roy a ďalší

Zdroj: Proceedings of the 57th Annual ACM Symposium on Theory of Computing. :451-462

Predmety: FOS: Computer and information sciences, distributed computing, Computer Science - Computational Complexity, Quantum Physics, quantum advantage, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Physical sciences, locally checkable labeling problems, Distributed, Parallel, and Cluster Computing (cs.DC), Computational Complexity (cs.CC), Quantum Physics (quant-ph), ddc

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2411.03240
https://mediatum.ub.tum.de/1832993
https://aaltodoc.aalto.fi/handle/123456789/138639

Online Locality Meets Distributed Quantum Computing

Autori: Amirreza Akbari Xavier Coiteux-Roy Francesco d'Amore a ďalší

Prispievatelia: Amirreza Akbari Xavier Coiteux-Roy Francesco d'Amore a ďalší

Zdroj: Proceedings of the 57th Annual ACM Symposium on Theory of Computing. :1295-1306

Predmety: FOS: Computer and information sciences, Quantum Physics, Probability (math.PR), FOS: Physical sciences, Computational Complexity (cs.CC), ddc, distributed computing, Computer Science - Computational Complexity, quantum advantage, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Mathematics, locally checkable labeling problems, Distributed, Parallel, and Cluster Computing (cs.DC), Quantum Physics (quant-ph), Mathematics - Probability

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2403.01903
https://mediatum.ub.tum.de/1832992
https://aaltodoc.aalto.fi/handle/123456789/138627

Distributed Neural Representation for Reactive In Situ Visualization

Autori: Qi Wu Joseph A. Insley Victor A. Mateevitsi a ďalší

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 31:5199-5214

Predmety: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39115992
http://arxiv.org/abs/2304.10516

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach

Autori: Mohammadreza Doostmohammadian Mohammad Pirani

Zdroj: IEEE Transactions on Network Science and Engineering. 12:3975-3984

Predmety: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Optimization and Control (math.OC), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Multiagent Systems, Systems and Control (eess.SY), Distributed, Parallel, and Cluster Computing (cs.DC), Electrical Engineering and Systems Science - Signal Processing, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control, Multiagent Systems (cs.MA)

Prístupová URL adresa: http://arxiv.org/abs/2505.01757

Coded Distributed (Batch) Matrix Multiplication Over Galois Ring via RMFE

Autori: Yi Kuang Jiang Li Songsong Li a ďalší

Zdroj: IEEE Transactions on Information Theory. 71:8358-8367

Predmety: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Information Theory, Information Theory (cs.IT), Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: http://arxiv.org/abs/2412.01172

Generating Representative Macrobenchmark Microservice Systems from Distributed Traces with Palette

Autori: Vaastav Anand Matheus Stolet Jonathan Mace a ďalší

Zdroj: Proceedings of the 16th ACM SIGOPS Asia-Pacific Workshop on Systems. :147-154

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

Prístupová URL adresa: http://arxiv.org/abs/2506.06448

Distributed Massive MIMO-Aided Task Offloading in Satellite-Terrestrial Integrated Multi-Tier VEC Networks

Autori: Yixin Liu Shaoling Liang Kunlun Wang a ďalší

Zdroj: IEEE Transactions on Vehicular Technology. 74:14882-14886

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

Prístupová URL adresa: http://arxiv.org/abs/2412.04793

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine

Autori: Canyi Chen Nan Qiao Liping Zhu

Zdroj: Journal of the American Statistical Association. :1-13

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Statistics - Machine Learning, Machine Learning (stat.ML), Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2503.07563

Deterministic Distributed DFS via Cycle Separators in Planar Graphs

Autori: Benjamin Jauregui Pedro Montealegre Ivan Rapaport

Zdroj: Proceedings of the ACM Symposium on Principles of Distributed Computing. :268-277

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

Prístupová URL adresa: http://arxiv.org/abs/2504.21620

Asynchronous Fault-Tolerant Language Decidability for Runtime Verification of Distributed Systems

Autori: Armando Castañeda Gilde Valeria Rodríguez

Zdroj: Proceedings of the ACM Symposium on Principles of Distributed Computing. :218-229

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

Prístupová URL adresa: http://arxiv.org/abs/2502.00191

An Asynchronous Distributed-Memory Parallel Algorithm for $k$-Mer Counting

Autori: Hati, Souvadra Hayashi, Akihiro Vuduc, Richard

Zdroj: 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS). :472-483

Predmety: Genomics (q-bio.GN), FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Biological sciences, Quantitative Biology - Genomics, Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: http://arxiv.org/abs/2505.04431

A Survey on Distributed Evolutionary Computation

Autori: Feng-Feng Wei Wei-Neng Chen Tian-Fang Zhao a ďalší

Zdroj: IEEE Computational Intelligence Magazine. 20:41-62

Predmety: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: http://arxiv.org/abs/2304.05811

Optimal quantum sampling on distributed databases

Autori: Longyun Chen Jingcheng Liu Penghui Yao

Zdroj: Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures. :181-192

Predmety: FOS: Computer and information sciences, Quantum Physics, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Physical sciences, Distributed, Parallel, and Cluster Computing (cs.DC), Quantum Physics (quant-ph)

Prístupová URL adresa: http://arxiv.org/abs/2506.07724

Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning

Autori: Houming Qiu Kun Zhu Nguyen Cong Luong a ďalší

Zdroj: IEEE Transactions on Emerging Topics in Computing. 13:1030-1042

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

Prístupová URL adresa: http://arxiv.org/abs/2406.04747

Trustworthiness of Stochastic Gradient Descent in Distributed Learning

Autori: Li, Hongyang Wu, Caesar Chadli, Mohammed a ďalší

Zdroj: 2025 European Control Conference (ECC). :2199-2204

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2410.21491

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning

Autori: Wang, Yisu Wu, Ruilong Li, Xinjiao a ďalší

Zdroj: 2025 62nd ACM/IEEE Design Automation Conference (DAC). :1-7

Predmety: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: http://arxiv.org/abs/2505.18563

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage

Autori: Maxime Gonthier Dante D. Sanchez-Gallegos Haochen Pan a ďalší

Zdroj: Proceedings of the 39th ACM International Conference on Supercomputing. :853-867

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

Prístupová URL adresa: http://arxiv.org/abs/2506.02026

Supporting Distributed Learning through Immersive Learning Environments

Autori: Carsten Lecon

Zdroj: Athens Journal of Education. 2024 11(3):213-226.

Peer Reviewed: Y

Počet strán: 14

Descriptors: Electronic Learning, Virtual Classrooms, Computer Simulation, Artificial Intelligence, Educational Environment, Group Activities, Educational Technology, Technology Uses in Education, Distance Education, Computer Assisted Instruction, Internet, Cooperative Learning, Educational Objectives, Competency Based Education, Robotics, Programming, Computer Science Education

Distributed Inference on Mobile Edge and Cloud: An Early Exit Based Clustering Approach

Autori: Bajpai, Divya Jyoti Hanawal, Manjesh Kumar

Zdroj: ICC 2025 - IEEE International Conference on Communications. :5425-5430

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2410.05338

Physics-Inspired Distributed Radio Map Estimation

Autori: Yang, Dong Wang, Yue Zhang, Songyang a ďalší

Zdroj: ICC 2025 - IEEE International Conference on Communications. :1025-1030

Predmety: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2502.00319