Výsledky vyhledávání - "DISTRIBUTED artificial intelligence"

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

Two Decades of Automated AI Planning Methods in Construction and Fabrication: a Systematic Review.

Autoři: Sherkat, Shermin Wortmann, Thomas Wortmann, Andreas

Zdroj: ACM Computing Surveys. Nov2025, Vol. 57 Issue 11, p1-21. 21p.

Témata: *ARTIFICIAL intelligence, *SOFTWARE engineering, *EXPERT systems, DISTRIBUTED artificial intelligence, PARTIALLY observable Markov decision processes, COMPUTER engineering, DEEP learning

A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions.

Autoři: Uddin, Md Palash Xiang, Yong Hasan, Mahmudul a další

Zdroj: ACM Computing Surveys. Oct2025, Vol. 57 Issue 10, p1-62. 62p.

Témata: *ARTIFICIAL intelligence, MACHINE learning, DISTRIBUTED artificial intelligence, FEDERATED learning, PATTERN recognition systems, INTRUSION detection systems (Computer security), K-means clustering

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models.

Autoři: Wang, Xubin Tang, Zhiqing Guo, Jianxiong a další

Zdroj: ACM Computing Surveys. Sep2025, Vol. 57 Issue 9, p1-39. 39p.

Témata: *ARTIFICIAL neural networks, *ARTIFICIAL intelligence, *REAL-time computing, DISTRIBUTED artificial intelligence, DEEP learning, REINFORCEMENT learning

Field Trial and Future Outlook of AI Constellation.

Autoři: Shiroma, Yuki Yoshida, Tsukasa Sekiguchi, Yuichiro

Zdroj: NTT Technical Review. Nov2025, Vol. 23 Issue 11, p34-39. 6p.

Témata: *ARTIFICIAL intelligence, *DISTRIBUTED artificial intelligence, *FIELD research, *SWARM intelligence, *STAKEHOLDER analysis

Advanced Research on AI Algorithms for Supporting AI Constellation.

Autoři: Chijiwa, Daiki Kumagai, Atsutoshi Adachi, Kazuki a další

Zdroj: NTT Technical Review. Nov2025, Vol. 23 Issue 11, p40-46. 7p.

Témata: *MACHINE learning, *DISTRIBUTED artificial intelligence, *FEATURE selection, *BIG data, *TRANSFER of training

Korporace: NTT Corp.

Reinforcement Learning for Distributed AI Systems: Scalable Indexing, LLM Integration, and Autonomous Decision-Making in Federated Cloud Architectures.

Autoři: Narasimhamurthy, Rohith Mehta, Sushant Gadda, Rajiv Kishore

Zdroj: Journal of Computational Analysis & Applications. 2025, Vol. 34 Issue 7, p367-380. 14p.

Témata: *REINFORCEMENT learning, *DISTRIBUTED artificial intelligence, *RESOURCE allocation, *RESOURCE management, *ARTIFICIAL intelligence, *INDEXING, *HYBRID cloud computing

Spectral Properties of Complex Distributed Intelligence Systems Coupled with an Environment.

Autoři: Alodjants, Alexander P. Tsarev, Dmitriy V. Zakharenko, Petr V. a další

Zdroj: Entropy. Oct2025, Vol. 27 Issue 10, p1016. 23p.

Témata: *ARTIFICIAL intelligence, *DISTRIBUTED artificial intelligence, *QUANTUM graph theory, *SPECTRAL theory, *ENTROPY (Information theory), *GROUP decision making, *SYNCHRONIZATION, *ECOSYSTEM dynamics

Teacher-AI Collaboration: How Educators can Harness Artificial Intelligence without Losing Pedagogical Control.

Autoři: Rasheed, Tayiba Bhatti, Javeria Ashfaq Hashim, Ayisha a další

Zdroj: Review of Applied Management & Social Sciences (RAMSS). 2025, Vol. 8 Issue 2, p697-709. 13p.

Témata: *CAREER development, AFFECTIVE computing, DISTRIBUTED artificial intelligence, TEACHER development, TEACHER attitudes, EDUCATIONAL technology, INTELLIGENT tutoring systems

Toward Decentralized Intelligence: A Systematic Literature Review of Blockchain-Enabled AI Systems.

Autoři: Al Jasem, Mohamad Sheikho De Clark, Trevor Shrestha, Ajay Kumar

Zdroj: Information. Sep2025, Vol. 16 Issue 9, p765. 26p.

Témata: *PRIVACY, *DISTRIBUTED artificial intelligence, *BLOCKCHAINS, *PEER-to-peer architecture (Computer networks), *ORGANIZATIONAL governance, *DIGITAL health, *FEDERATED learning

Adaptable System for Disaggregated Distributed AI Chat Enablement (D2ACE) to Support Mission Engineering.

Autoři: Hershey, Paul C. Wang, Mu‐Cheng Coston, Jennifer N. a další

Zdroj: Systems Engineering. Sep2025, Vol. 28 Issue 5, p640-647. 8p.

Témata: *ARTIFICIAL intelligence, *DISTRIBUTED artificial intelligence, *SYSTEMS engineering, *REAL-time programming, *COMMUNICATION planning, *SECURITY management, *INSTANT messaging

The Role of Multi-Agents in Digital Twin Implementation: Short Survey.

Autoři: Kalyani, Yogeswaranathan Collier, Rem

Zdroj: ACM Computing Surveys. Mar2025, Vol. 57 Issue 3, p1-15. 15p.

Témata: *ARTIFICIAL intelligence, *CYBER physical systems, DISTRIBUTED artificial intelligence, REINFORCEMENT learning, MACHINE learning, DEEP reinforcement learning, ONTOLOGIES (Information retrieval)

CyclicFL: Efficient Federated Learning with Cyclic Model Pre-training.

Autoři: Zhang, Pengyu Zhou, Yingbo Hu, Ming a další

Zdroj: Journal of Circuits, Systems & Computers. 5/15/2025, Vol. 34 Issue 7, p1-22. 22p.

Témata: *DISTRIBUTED artificial intelligence, *FEDERATED learning, *DATA privacy, *INTERNET of things

Tech Mahindra partners with Barbara.

Zdroj: Ace Analyser: Company News. 10/1/2025, pN.PAG-N.PAG. 1p.

Témata: *BUSINESS enterprises, *BUSINESS partnerships, *AUTOMATION, DISTRIBUTED artificial intelligence, ORGANIZATION management

Korporace: TECH Mahindra Ltd.

The convergence of blockchain and federated learning: A bibliometric exploration of decentralized AI.

Autoři: Yuhefizar Watrianthos, Ronal

Zdroj: AIP Conference Proceedings; 2025, Vol. 3334 Issue 1, p1-8, 8p

Témata: BLOCKCHAINS, FEDERATED learning, RESOURCE allocation, DATA privacy, ARTIFICIAL intelligence, BIBLIOMETRICS, DISTRIBUTED artificial intelligence

Geografický termín: CHINA

A multi-agent based big data analytics system for viable supplier selection.

Autoři: Zekhnini, Kamar Chaouni Benabdellah, Abla Cherrafi, Anass

Zdroj: Journal of Intelligent Manufacturing. Dec2024, Vol. 35 Issue 8, p3753-3773. 21p.

Témata: *DATA analytics, *SUPPLY chain management, *ARTIFICIAL intelligence, DISTRIBUTED artificial intelligence, DIGITAL technology

Software Engineering for Collective Cyber-Physical Ecosystems

Autoři: Roberto Casadei Gianluca Aguzzi Giorgio Audrito a další

Zdroj: ACM Transactions on Software Engineering and Methodology. 34:1-40

Témata: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, cyber-physical ecosystems, collective adaptive systems, swarm intelligence, macro-programming, edge-cloud continuum, multi-agent systems, distributed artificial intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Multiagent Systems, Distributed, Parallel, and Cluster Computing (cs.DC), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Multiagent Systems (cs.MA)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2406.04780
https://hdl.handle.net/11585/1026171
https://dl.acm.org/doi/10.1145/3712004
https://doi.org/10.1145/3712004
https://hdl.handle.net/2318/2060232
https://dl.acm.org/doi/abs/10.1145/3712004
https://doi.org/10.1145/3712004

A Review of Multi-Robot Systems and Soft Robotics: Challenges and Opportunities.

Autoři: Tejada, Juan C. Toro-Ossaba, Alejandro López-Gonzalez, Alexandro a další

Zdroj: Sensors (14248220). Mar2025, Vol. 25 Issue 5, p1353. 26p.

Témata: *DISTRIBUTED artificial intelligence, *SOFT robotics, *BIOMIMETICS, *SYSTEM integration, *OBJECT manipulation, *BIOMIMETIC materials

Optimization and designing a hospital using distributed AI.

Alternate Title: Optimización y diseño de un hospital mediante IA distribuida.

Autoři: Oumaima, Hilali Aziz, Soulhi Driss, Bouami a další

Zdroj: Data & Metadata. 2025, Vol. 4, p1-8. 8p.

Témata: *DISTRIBUTED artificial intelligence, *MULTIAGENT systems, *HEALTH equity, *COVID-19 pandemic, *HOSPITAL building design & construction, *PATIENT care

A distributed classification and prediction model using federated learning in healthcare.

Autoři: Rathee, Geetanjali Singh, Aparna Singal, Gaurav a další

Zdroj: Knowledge & Information Systems; Nov2025, Vol. 67 Issue 11, p10065-10085, 21p

Témata: FEDERATED learning, CLASSIFICATION, PRIVACY, MEDICAL records, PREDICTION models, DECISION making, DISTRIBUTED artificial intelligence, MEDICAL care