Energy efficient multi-tasking for edge computing using federated learning

• Published in: International journal of pervasive computing and communications Vol. 20; no. 3; pp. 18 - 32
• Main Authors: Soni, Mukesh, Nayak, Nihar Ranjan, Kalra, Ashima, Degadwala, Sheshang, Singh, Nikhil Kumar, Singh, Shweta
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Group Publishing Limited 30.09.2024
• Subjects: Cloud computing; Data processing; Datasets; Decision making; Decomposition; Deep learning; Edge computing; Energy consumption; Federated learning; Greedy algorithms; Internet of Things; Machine learning; Multitasking; Privacy; Semantics

PurposeThe purpose of this paper is to improve the existing paradigm of edge computing to maintain a balanced energy usage.Design/methodology/approachThe new greedy algorithm is proposed to balance the energy consumption in edge computing.FindingsThe new greedy algorithm can balance energy more effi...