Výsledky vyhledávání - "CCS Concepts: Computing methodologies → Distributed computing methodologies"

Methods included: standardizing computational reuse and portability with the Common Workflow Language

Autoři: Crusoe, Michael R. Abeln, Sanne Iosup, Alexandru a další

Přispěvatelé: Crusoe, Michael R. Abeln, Sanne Iosup, Alexandru a další

Zdroj: Crusoe, M R, Abeln, S, Iosup, A, Amstutz, P, Chilton, J, Tijanić, N, Ménager, H, Soiland-Reyes, S, Gavrilović, B, Goble, C A & The CWL Community 2022, 'Methods Included : Standardizing Computational Reuse and Portability with the Common Workflow Language', Communications of the ACM, vol. 65, no. 6, pp. 54–63. https://doi.org/10.48550/arXiv.2105.07028, https://doi.org/10.1145/3486897

Témata: FOS: Computer and information sciences, 0301 basic medicine, Data flow architectures workflows, cs.DC, Population genetics, Bioinformatics, Enterprise computing infrastructures, Earth and atmospheric sciences, scientific workflows, • Computer systems organization → Distributed architectures, [INFO] Computer Science [cs], CWL, Imaging, Computational biology, 03 medical and health sciences, SDG 17 - Partnerships for the Goals, Computational transcriptomics, Cloud computing, CCS CONCEPTS • Computing methodologies → Distributed computing methodologies, computational data analysis, Transcriptomics, 0303 health sciences, Enterprise interoperability, Computational proteomics, • General and reference → Computing standards, Computational genomics, Life and medical sciences, Computer Science - Distributed, Parallel, and Cluster Computing, RFCs and guidelines, • Applied computing → Astronomy, Grid computing, standards, workflows, Distributed, Parallel, and Cluster Computing (cs.DC), Systems biology

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2105.07028
https://dare.uva.nl/personal/pure/en/publications/methods-included(2fa19bd5-9b91-4ec0-b041-169f2c49b414).html
https://doi.org/10.1145/3486897
https://hdl.handle.net/11245.1/2fa19bd5-9b91-4ec0-b041-169f2c49b414
https://research.vu.nl/en/publications/0ca22c4b-9010-45c8-bd5c-50ed2a911b6a
https://hdl.handle.net/1871.1/0ca22c4b-9010-45c8-bd5c-50ed2a911b6a
https://research.vu.nl/en/publications/ceeae3dc-bc51-4588-88bc-70f5e096b2d1
https://doi.org/10.1145/3486897
https://hdl.handle.net/1871.1/ceeae3dc-bc51-4588-88bc-70f5e096b2d1
https://arxiv.org/pdf/2105.07028v2
https://ui.adsabs.harvard.edu/abs/2021arXiv210507028C/abstract
https://www.narcis.nl/publication/RecordID/oai%3Aresearch.vu.nl%3Apublications%2F0ca22c4b-9010-45c8-bd5c-50ed2a911b6a
https://research.vu.nl/en/publications/methods-included-standardizing-computational-reuse-and-portabilit
https://dblp.uni-trier.de/db/journals/corr/corr2105.html#abs-2105-07028
http://export.arxiv.org/pdf/2105.07028
https://pasteur.hal.science/pasteur-03680143v2/document
https://pasteur.hal.science/pasteur-03680143v2
https://doi.org/10.1145/3486897
https://pure.manchester.ac.uk/ws/files/218742952/3486897.pdf
https://cacm.acm.org/magazines/2022/6/261172-methods-included/fulltext
https://doi.org/10.48550/arXiv.2105.07028
https://research.manchester.ac.uk/en/publications/df12f1a3-8af0-40fa-8989-c5e4eb1beea5
https://s11.no/2022/phd/methods-included/
https://dspace.library.uu.nl/handle/1874/434518

Can Byzantine Fault Tolerant Consensus Agreement be Utilitarian, Scalable and Resilient? An Algorithm Proposition from a Consortium Blockchain Perspective: CUBA

Autoři: Samuel, Cyril, Naves Verdier, François Glock, Severine a další

Přispěvatelé: Samuel, Cyril, Naves Verdier, François Glock, Severine a další

Zdroj: https://hal.science/hal-04535185 ; 2024.

Témata: CCS Concepts: Computing methodologies → Distributed computing methodologies, Computer systems organization → Reliability blockchains, distributed systems, byzantine fault tolerant, consensus algorithms, CCS Concepts, Computing methodologies → Distributed computing methodologies, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Dostupnost: https://hal.science/hal-04535185
https://hal.science/hal-04535185v1/document
https://hal.science/hal-04535185v1/file/ACM_Journal_CUBA_Prop-1.pdf

Partial Replication Policies for Dynamic Distributed Transactional Memory in Edge Clouds

Autoři: Lima, Diogo Miranda, Hugo Taïani, François

Přispěvatelé: Lima, Diogo Miranda, Hugo Taïani, François

Zdroj: Proceedings of the 1st Workshop on Middleware for Edge Clouds & Cloudlets - MECC '16. :1-6

Témata: Self-organization, Edge Clouds, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, Geographical Distribution, CCS Concepts •Computing methodologies → Distributed computing methodologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Partial Replication

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.inria.fr/hal-01420708/file/mecc.pdf
https://dl.acm.org/citation.cfm?doid=3017116.3022872
https://hal.inria.fr/hal-01420708
https://dl.acm.org/doi/10.1145/3017116.3022872
https://dblp.uni-trier.de/db/conf/middleware/mecc2016.html#LimaMT16
https://hal.inria.fr/hal-01420708/document

Online Distributed Heterogeneous Streaming Feature Selection.

Autoři: Zhou, Peng Deng, Huiqi Zhang, Yunyun a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Dec2025, Vol. 16 Issue 6, p1-23, 23p

Towards Serialization/Deserialization-free State Transfer in Serverless Workflows.

Autoři: Wei, Xingda Lu, Fangming Huang, Zhuobin a další

Zdroj: ACM Transactions on Computer Systems; Nov2025, Vol. 43 Issue 4, p1-32, 32p

Témata: CLOUD computing, ENCODING

Bias in Federated Learning: A Comprehensive Survey.

Autoři: Benarba, Nawel Bouchenak, Sara

Zdroj: ACM Computing Surveys; Nov2025, Vol. 57 Issue 11, p1-36, 36p

Témata: ARTIFICIAL intelligence, DISTRIBUTED artificial intelligence, CIVIL Rights Act of 1964. Title VII, FEDERATED learning, MACHINE learning, HUMAN activity recognition

Improved Multi-Agent Proximal Policy Optimization Algorithm for Resource Allocation with Radar-Perception in UAV-Assisted VEC.

Autoři: Li, Chunlin Zhang, Zihao Wang, Jiaqi a další

Zdroj: ACM Transactions on Sensor Networks; Nov2025, Vol. 21 Issue 6, p1-28, 28p

Témata: RESOURCE allocation, REMOTE sensing by radar, BANDWIDTHS, EDGE computing, MARKOV processes, DRONE aircraft, REINFORCEMENT learning

D-RecSys: A Decentralized Recommendation Framework for Web 3.0-Based Content-Sharing Platforms.

Autoři: Roy, Utsa Mukhopadhyay, Ritoja Sharma, Prateush a další

Zdroj: ACM Transactions on Internet Technology; Nov2025, Vol. 25 Issue 4, p1-26, 26p

Témata: FEDERATED learning, DATA privacy, WEB personalization, BLOCKCHAINS, PEER-to-peer architecture (Computer networks), SHARING, CONSUMER profiling, RECOMMENDER systems

A Survey on Securing Image-Centric Edge Intelligence.

Autoři: Li, Tang Hu, Haibo Gabbouj, Moncef a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Aug2025, Vol. 21 Issue 8, p1-35, 35p

Témata: EVIDENCE gaps, EDGE computing, DATA protection, ELECTRONIC data processing, ARTIFICIAL intelligence

ARACHNE: Optimizing Distributed Parallel Applications with Reduced Inter-Process Communication.

Autoři: HE, YIFU ZHAO, HAN CUI, WEIHAO a další

Zdroj: ACM Transactions on Architecture & Code Optimization; Jun2025, Vol. 22 Issue 2, p1-26, 26p

HeLoRA: LoRA-heterogeneous Federated Fine-tuning for Foundation Models.

Autoři: Fan, Boyu Su, Xiang Tarkoma, Sasu a další

Zdroj: ACM Transactions on Internet Technology; May2025, Vol. 25 Issue 2, p1-22, 22p

Témata: FEDERATED learning, DEEP learning, HETEROGENEITY, PRIVACY

Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.

Autoři: KANG, YAN GU, HANLIN TANG, XINGXING a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Dec2024, Vol. 15 Issue 6, p1-33, 33p

Témata: FEDERATED learning, MULTI-objective optimization, PARETO optimum, TRUST, PROBLEM solving

Reaching Consensus in the Byzantine Empire: A Comprehensive Review of BFT Consensus Algorithms.

Autoři: Zhang, Gengrui Pan, Fei Mao, Yunhao a další

Zdroj: ACM Computing Surveys; May2024, Vol. 56 Issue 5, p1-41, 41p

Témata: MACHINE learning, MESSAGE authentication codes, DATA structures, CONSENSUS (Social sciences), TELECOMMUNICATION systems, BLOCKCHAINS

Behave Differently when Clustering: A Semi-asynchronous Federated Learning Approach for IoT.

Autoři: Fan, Boyu Su, Xiang Tarkoma, Sasu a další

Zdroj: ACM Transactions on Sensor Networks; May2024, Vol. 20 Issue 3, p1-28, 28p

Témata: FEDERATED learning, MACHINE learning, DATA privacy, INTERNET of things, ASYNCHRONOUS learning, PROCESS capability, SUPERVISED learning

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.

Autoři: Wu, Zhiyuan Sun, Sheng Wang, Yuwei a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Apr2024, Vol. 15 Issue 2, p1-34, 34p

Témata: FEDERATED learning, UNCERTAINTY (Information theory), DISTILLATION, LOCAL knowledge, MACHINE learning, GEOMETRIC congruences

FedSuper: A Byzantine-Robust Federated Learning Under Supervision.

Autoři: Zhao, Ping Jiang, Jin Zhang, Guanglin

Zdroj: ACM Transactions on Sensor Networks; Mar2024, Vol. 20 Issue 2, p1-29, 29p

Témata: FEDERATED learning, MACHINE learning, SUPERVISION

MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment.

Autoři: ODEMA, MOHANAD BOUZIDI, HALIMA OUARNOUGHI, HAMZA a další

Zdroj: ACM Transactions on Embedded Computing Systems; 2023 Suppl5s, Vol. 22, p1-26, 26p

Témata: ARTIFICIAL neural networks, SPACE (Architecture), FLOWGRAPHS, SYSTEMS on a chip, ARCHITECTURAL design, STRUCTURAL models

Korporace: NVIDIA Corp.

Blockchain-Based Privacy Preservation for IoT-Enabled Healthcare System.

Autoři: SHARMA, PRATIMA NAMASUDRA, SUYEL CHILAMKURTI, NAVEEN a další

Zdroj: ACM Transactions on Sensor Networks; Aug2023, Vol. 19 Issue 3, p1-17, 17p

Témata: BLOCKCHAINS, HEALTH care industry, SUPPLY chain management, FOOD industry, PRIVACY, INTERNET of things

Privacy-Aware Traffic Flow Prediction Based on Multi-Party Sensor Data with Zero Trust in Smart City.

Autoři: FAN WANG GUANGSHUN LI YILEI WANG a další

Zdroj: ACM Transactions on Internet Technology; Aug2023, Vol. 23 Issue 3, p1-19, 19p

Témata: TRAFFIC flow, SMART cities, DATA privacy, TRUST, TRAFFIC engineering

Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend.

Autoři: WU, WENDI LI, ZONGREN ZHAO, YAWEI a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Feb2023, Vol. 14 Issue 1, p1-22, 22p

Témata: ONLINE education, MACHINE learning, INFORMATION sharing, ONLINE algorithms, TELECOMMUNICATION systems, ITERATIVE learning control