Smart City Gnosys

Smart city article details

Title	Combining Machine Learning And Edge Computing: Opportunities, Challenges, Platforms, Frameworks, And Use Cases
ID_Doc	14842
Authors	Grzesik P.; Mrozek D.
Year	2024
Published	Electronics (Switzerland), 13, 3
DOI	http://dx.doi.org/10.3390/electronics13030640
Abstract	In recent years, we have been observing the rapid growth and adoption of IoT-based systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine learning techniques has surged, often for similar use cases as those seen in IoT systems. In this survey, we aim to focus on the combination of machine learning and the edge computing paradigm. The presented research commences with the topic of edge computing, its benefits, such as reduced data transmission, improved scalability, and reduced latency, as well as the challenges associated with this computing paradigm, like energy consumption, constrained devices, security, and device fleet management. It then presents the motivations behind the combination of machine learning and edge computing, such as the availability of more powerful edge devices, improving data privacy, reducing latency, or lowering reliance on centralized services. Then, it describes several edge computing platforms, with a focus on their capability to enable edge intelligence workflows. It also reviews the currently available edge intelligence frameworks and libraries, such as TensorFlow Lite or PyTorch Mobile. Afterward, the paper focuses on the existing use cases for edge intelligence in areas like industrial applications, healthcare applications, smart cities, environmental monitoring, or autonomous vehicles. © 2024 by the authors.
Author Keywords	edge computing; healthcare; Internet of Things; machine learning; predictive maintenance; smart cities

Similar Articles

Id	Similarity	Authors	Title	Published
5251	0.928	Hoffpauir K.; Simmons J.; Schmidt N.; Pittala R.; Briggs I.; Makani S.; Jararweh Y.	A Survey On Edge Intelligence And Lightweight Machine Learning Support For Future Applications And Services	Journal of Data and Information Quality, 15, 2 (2023)
22927	0.917	Nizam M.K.; Goyal S.B.; Verma C.; Illés Z.	Empowering Smart Cities With Edge Computing-Based Iot Systems: A Focus On Data Analytics And Machine Learning Techniques	Lecture Notes in Electrical Engineering, 1194 (2024)
21815	0.91	Murthy V.S.N.; Kumari R.; Goyal M.; Dubey P.; Meenakshi; Manikandan S.; Ramesh P.	Edge-Ai In Iot: Leveraging Cloud Computing And Big Data For Intelligent Decision-Making	Journal of Information Systems Engineering and Management, 10 (2025)
21763	0.903	Alnoman A.	Edge Computing Services For Smart Cities: A Review And Case Study	2021 International Symposium on Networks, Computers and Communications, ISNCC 2021 (2021)
57735	0.901	Zaid M.A.; Faizal M.; Maheswar R.; Abdullaziz O.I.	Toward Smart Urban Development Through Intelligent Edge Analytics	EAI/Springer Innovations in Communication and Computing (2020)
21762	0.9	Chandrasekaran S.; Athinarayanan S.; Masthan M.; Kakkar A.; Bhatnagar P.; Samad A.	Edge Computing Revolution: Unleashing Artificial Intelligence Potential In The World Of Edge Intelligence	Edge of Intelligence: Exploring the Frontiers of AI at the Edge (2025)
8433	0.897	Udayakumar R.; Mahesh B.; Sathiyakala R.; Thandapani K.; Choubey A.; Khurramov A.; Alzubaidi L.H.; Sravanthi J.	An Integrated Deep Learning And Edge Computing Framework For Intelligent Energy Management In Iot-Based Smart Cities	International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023 (2023)
21849	0.895	Sulieman N.A.; Celsi L.R.; Li W.; Zomaya A.; Villari M.	Edge-Oriented Computing: A Survey On Research And Use Cases	Energies, 15, 2 (2022)
55982	0.895	Hasan M.M.; Sultana T.; Hossain M.D.; Mandal A.K.; Ngo T.-T.; Lee G.-W.; Huh E.-N.	The Journey To Cloud As A Continuum: Opportunities, Challenges, And Research Directions	ICT Express (2025)
36075	0.895	Bzai J.; Alam F.; Dhafer A.; Bojović M.; Altowaijri S.M.; Niazi I.K.; Mehmood R.	Machine Learning-Enabled Internet Of Things (Iot): Data, Applications, And Industry Perspective	Electronics (Switzerland), 11, 17 (2022)