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Distributed, Parallel, and Cluster Computing

Authors and titles for recent submissions

[ total of 71 entries: 1-25 | 26-50 | 51-71 ]
[ showing 25 entries per page: fewer | more | all ]

Fri, 17 May 2024

[1]  arXiv:2405.10249 [pdf, ps, other]
Title: Unifying Partial Synchrony
Authors: Andrei Constantinescu, Diana Ghinea, Jakub Sliwinski, Roger Wattenhofer
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[2]  arXiv:2405.10058 [pdf, ps, other]
Title: Distributed Coloring in the SLEEPING Model
Authors: Fabien Dufoulon, Pierre Fraigniaud, Mikaël Rabie, Hening Zheng
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[3]  arXiv:2405.10057 [pdf, other]
Title: AMECOS: A Modular Event-based Framework for Concurrent Object Specification
Authors: Timothé Albouy (IRISA), Antonio Fernández Anta, Chryssis Georgiou (UCY), Mathieu Gestin, Nicolas Nicolaou, Junlang Wang
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[4]  arXiv:2405.10271 (cross-list from cs.LG) [pdf, other]
Title: Automated Federated Learning via Informed Pruning
Authors: Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Emerging Technologies (cs.ET)
[5]  arXiv:2405.10123 (cross-list from cs.LG) [pdf, other]
Title: Asynchronous Federated Stochastic Optimization with Exact Averaging for Heterogeneous Local Objectives
Authors: Charikleia Iakovidou, Kibaek Kim
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[6]  arXiv:2405.10096 (cross-list from cs.LG) [pdf, other]
Title: The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective
Authors: Tianqu Kang, Lumin Liu, Hengtao He, Jun Zhang, S. H. Song, Khaled B. Letaief
Comments: 6 pages, 5 figures, submitted to 2024 IEEE MeditCom
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC)
[7]  arXiv:2405.09975 (cross-list from cs.DS) [pdf, other]
Title: Distributed Delta-Coloring under Bandwidth Limitations
Authors: Yannic Maus, Magnús M. Halldórsson
Subjects: Data Structures and Algorithms (cs.DS); Distributed, Parallel, and Cluster Computing (cs.DC)
[8]  arXiv:2405.09903 (cross-list from cs.LG) [pdf, other]
Title: Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models
Authors: Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos, Antonio Skarmeta
Comments: 13 pages, 11 figures, 3 tables
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[9]  arXiv:2405.09892 (cross-list from cs.LG) [pdf, other]
Title: Balancing Similarity and Complementarity for Federated Learning
Authors: Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[10]  arXiv:2405.09746 (cross-list from cs.IT) [pdf, ps, other]
Title: Algebraic Geometric Rook Codes for Coded Distributed Computing
Authors: Gretchen L. Matthews, Pedro Soto
Comments: 6 pages
Subjects: Information Theory (cs.IT); Distributed, Parallel, and Cluster Computing (cs.DC); Discrete Mathematics (cs.DM); Algebraic Geometry (math.AG)

Thu, 16 May 2024

[11]  arXiv:2405.09531 [pdf, other]
Title: Ticket-based multi-strand method for increased efficiency in proof-of-work based blockchains
Authors: Elias Rudberg
Comments: 5 pages
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[12]  arXiv:2405.09490 [pdf, ps, other]
Title: Distributed Nonlinear Conic Optimisation with partially separable Structure
Authors: Richard Heusdens, Guoqiang Zhang
Comments: arXiv admin note: text overlap with arXiv:2309.12897
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[13]  arXiv:2405.09423 [pdf, ps, other]
Title: MicroPython Testbed for Federated Learning Algorithms
Authors: Miroslav Popovic, Marko Popovic, Ivan Kastelan, Miodrag Djukic, Ilija Basicevic
Comments: 20 pages, 6 figures, 12 tables, the extended paper preprint
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[14]  arXiv:2405.09398 [pdf, ps, other]
Title: Encrypted Container File: Design and Implementation of a Hybrid-Encrypted Multi-Recipient File Structure
Authors: Tobias J. Bauer, Andreas Aßmuth
Comments: 7 pages, for associated implementation etc., see this https URL
Journal-ref: Proc of the 14th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2023), Nice, France, June 2023, pp. 1-7, ISSN 2308-4294
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Cryptography and Security (cs.CR); Software Engineering (cs.SE)
[15]  arXiv:2405.09173 [pdf, other]
Title: The Economic Limits of Permissionless Consensus
Authors: Eric Budish, Andrew Lewis-Pye, Tim Roughgarden
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[16]  arXiv:2405.08882 [pdf, other]
Title: Lollipop: SVM Rollups on Solana
Authors: Irvin Steve Cardenas, Yugart Song
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[17]  arXiv:2405.08819 [pdf, other]
Title: eScope: A Fine-Grained Power Prediction Mechanism for Mobile Applications
Authors: Dipayan Mukherjee, Atul Sandur, Kirill Mechitov, Pratik Lahiri, Gul Agha
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF)
[18]  arXiv:2405.09409 (cross-list from cs.CV) [pdf, ps, other]
Title: Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Authors: Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus Maier-Hein, Rickmer Braren, Andreas Bucher
Subjects: Computer Vision and Pattern Recognition (cs.CV); Distributed, Parallel, and Cluster Computing (cs.DC)
[19]  arXiv:2405.09394 (cross-list from cs.LG) [pdf, other]
Title: SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuning
Authors: Yuning Yang, Xiaohong Liu, Tianrun Gao, Xiaodong Xu, Guangyu Wang
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[20]  arXiv:2405.09276 (cross-list from cs.LG) [pdf, other]
Title: Dual-Segment Clustering Strategy for Federated Learning in Heterogeneous Environments
Authors: Pengcheng Sun, Erwu Liu, Wei Ni, Kanglei Yu, Rui Wang, Abbas Jamalipour
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[21]  arXiv:2405.09157 (cross-list from math.OC) [pdf, other]
Title: A Primal-Dual Framework for Symmetric Cone Programming
Authors: Jiaqi Zheng, Antonios Varvitsiotis, Tiow-Seng Tan, Wayne Lin
Subjects: Optimization and Control (math.OC); Computational Geometry (cs.CG); Distributed, Parallel, and Cluster Computing (cs.DC); Data Structures and Algorithms (cs.DS)
[22]  arXiv:2405.09037 (cross-list from cs.LG) [pdf, other]
Title: Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning
Authors: Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince Calhoun, Sergey Plis
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[23]  arXiv:2405.09033 (cross-list from quant-ph) [pdf, other]
Title: Accelerating Decision Diagram-based Multi-node Quantum Simulation with Ring Communication and Automatic SWAP Insertion
Authors: Yusuke Kimura, Shaowen Li, Hiroyuki Sato, Masahiro Fujita
Comments: Accepted at IEEE QSW 2024
Subjects: Quantum Physics (quant-ph); Distributed, Parallel, and Cluster Computing (cs.DC)
[24]  arXiv:2405.08944 (cross-list from cs.LG) [pdf, other]
Title: Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis
Authors: Yao Fu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Distributed, Parallel, and Cluster Computing (cs.DC)

Wed, 15 May 2024 (showing first 1 of 12 entries)

[25]  arXiv:2405.08754 [pdf, ps, other]
Title: Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
Authors: Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz
Comments: Published in: 2023 IEEE International Conference on Cluster Computing (CLUSTER)
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Hardware Architecture (cs.AR); Machine Learning (cs.LG)
[ total of 71 entries: 1-25 | 26-50 | 51-71 ]
[ showing 25 entries per page: fewer | more | all ]

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