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The AutoSPADA platform: User-friendly edge computing for distributed learning and data analytics in connected vehicles
Nilsson, Adrian ; Smith, Simon ; Hagmar, Jonas ; et al.
In Internet of Things March 2025 30
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.
JIE ZHANG ; ZHIHAO QU ; CHENXI CHEN ; et al.
ACM Computing Surveys. Sep2022, Vol. 54 Issue 7, p1-36. 36p.
Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design
Guo, Song ; Qu, Zhihao ; Guo, Song ; et al.
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge
Zhang, Jie ; Qu, Zhihao ; Chen, Chenxi ; et al.
Privacy preserving Federated Learning framework for IoMT based big data analysis using edge computing
Nair, Akarsh K. ; Sahoo, Jayakrushna ; Raj, Ebin Deni
In Computer Standards & Interfaces August 2023 86
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
Unal, Devrim ; Hammoudeh, Mohammad ; Khan, Muhammad Asif ; et al.
In Computers & Security October 2021 109
Machine learning with big data analytics for cloud security
Mohammad, Abdul Salam ; Pradhan, Manas Ranjan
In Computers and Electrical Engineering December 2021 96 Part A
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge
Zhang, J. [and others]
ACM computing surveys. 54(7):Article 151-Article 151
Intelligent Edges: Mapping the Future Convergence of Edge Computing and Big Data Analytics.
Elmobark, N.
Journal of Science & Technology (1607-2073). 2025, Vol. 30 Issue 3, p78-91. 14p.
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
Rosendo, Daniel ; Costan, Alexandru ; Valduriez, Patrick ; et al.
In Journal of Parallel and Distributed Computing August 2022 166:71-94
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Special issue on big data computing service and machine learning applications.
Potika, Katerina ; Eirinaki, Magdalini ; Vitali, Monica ; et al.
Future Generation Computer Systems. Oct2025, Vol. 171, pN.PAG-N.PAG. 1p.
Toward Building Edge Learning Pipelines
Gounaris, A. ; Michailidou, A. ; Dustdar, S.
IEEE Internet Computing IEEE Internet Comput. Internet Computing, IEEE. 27(1):61-69 Jan, 2023
Lightweight intrusion detection for edge computing networks using deep forest and bio-inspired algorithms
Bangui, Hind ; Buhnova, Barbora
In Computers and Electrical Engineering May 2022 100
Blockchain and Artificial Intelligence for Big Data Analytics in Networking: Leadingedge Frameworks.
Don Shehan Nilmantha Wijesekara, Patikiri Arachchige
Journal of Engineering Science & Technology Review. 2024, Vol. 17 Issue 3, p125-143. 19p.
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning
Savazzi, Stefano ; Kianoush, Sanaz ; Rampa, Vittorio ; et al.
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
Hsieh, Weiche ; Bi, Ziqian ; Chen, Keyu ; et al.
Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications
Barhoush, Mahdi ; Ayad, Ahmad ; Schmeink, Anke
2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS) Autonomous Decentralized System (ISADS), 2023 IEEE 15th International Symposium on. :1-6 Mar, 2023
Adaptive Federated Learning with Dynamic Resource Allocation for Distributed Big Data Analytics: A Novel Framework for Privacy-Preserving Machine Learning at Scale
Agarampalli, Danish Reddy ; Siddareddy, Bhashitha
2025 International Conference on Computer Science, Technology and Engineering (ICCSTE) Computer Science, Technology and Engineering (ICCSTE), 2025 International Conference on. :8-11 Jun, 2025
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Firouzi, Farshad ; Farahani, Bahar ; Marinšek, Alexander
In Information Systems July 2022 107
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