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Distributed, Parallel, and Cluster Computing

Authors and titles for recent submissions, skipping first 52

[ total of 95 entries: 1-10 | ... | 23-32 | 33-42 | 43-52 | 53-62 | 63-72 | 73-82 | 83-92 | 93-95 ]
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Mon, 27 May 2024 (continued, showing 10 of 22 entries)

[53]  arXiv:2405.14991 [pdf, other]
Title: Dynamically Sharded Ledgers on a Distributed Hash Table
Authors: Christoffer Fink, Olov Schelén, Ulf Bodin
Comments: 19 pages, 6 figures, submitted to ACM DLT
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[54]  arXiv:2405.14892 [pdf, other]
Title: Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications
Authors: Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Computation (stat.CO)
[55]  arXiv:2405.15744 (cross-list from cs.LG) [pdf, other]
Title: CAFe: Cost and Age aware Federated Learning
Authors: Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur Ulukus
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT)
[56]  arXiv:2405.15645 (cross-list from cs.PF) [pdf, other]
Title: An Online Probabilistic Distributed Tracing System
Authors: M. Toslali, S. Qasim, S. Parthasarathy, F. A. Oliveira, H. Huang, G. Stringhini, Z. Liu, A. K. Coskun
Subjects: Performance (cs.PF); Distributed, Parallel, and Cluster Computing (cs.DC)
[57]  arXiv:2405.15644 (cross-list from cs.LG) [pdf, other]
Title: Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Authors: Akash Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[58]  arXiv:2405.15632 (cross-list from cs.LG) [pdf, other]
Title: Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Authors: Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
Comments: [v1] Preprint (24 pages)
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[59]  arXiv:2405.15586 (cross-list from cs.LG) [pdf, other]
Title: DAGER: Exact Gradient Inversion for Large Language Models
Authors: Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[60]  arXiv:2405.15578 (cross-list from cs.PL) [pdf, other]
Title: Distributed Locking as a Data Type
Authors: Julian Haas (1), Ragnar Mogk (1), Annette Bieniusa (2), Mira Mezini (1) ((1) Technische Universität Darmstadt, (2) University of Kaiserslautern-Landau)
Subjects: Programming Languages (cs.PL); Distributed, Parallel, and Cluster Computing (cs.DC)
[61]  arXiv:2405.15542 (cross-list from cs.NI) [pdf, other]
Title: SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
Authors: Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Yue Gao
Comments: 13 pages, 16 figures
Subjects: Networking and Internet Architecture (cs.NI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Signal Processing (eess.SP)
[62]  arXiv:2405.15474 (cross-list from cs.LG) [pdf, other]
Title: Unlearning during Learning: An Efficient Federated Machine Unlearning Method
Authors: Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
Comments: Accepted by IJCAI 2024
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[ total of 95 entries: 1-10 | ... | 23-32 | 33-42 | 43-52 | 53-62 | 63-72 | 73-82 | 83-92 | 93-95 ]
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