ItemConference Paper

Fault-Tolerant Strategies and Federated Learning for Resilient Edge Computing: A Comprehensive Survey

Title
Fault-Tolerant Strategies and Federated Learning for Resilient Edge Computing: A Comprehensive Survey
Creator
Reddy, Sangati Veera Vardhan; Singh, Madan; Singhal, Prateek; Singh, Jitendra
Description
Edge computing has emerged as a key technology for enabling real-time data processing in various applications such as Industrial Internet of Things (IIoT), smart cities, and autonomous systems. However, the distributed nature of edge computing makes it particularly vulnerable to system faults, such as hardware failures, network outages, and data corruption. To address these challenges, fault-tolerant strategies are essential for ensuring the reliability and resilience of edge systems. Furthermore, federated learning (FL) offers a decentralized approach to machine learning, which can enhance the resilience of edge computing environments by allowing edge devices to collaborate on training models without relying on a central server. This paper explores the integration of fault-tolerant strategies with federated learning to provide a comprehensive, resilient framework for edge computing. Various aspects are compared for fault-tolerant mechanisms with federated learning frameworks to analyze their effectiveness in enhancing system reliability and ensuring real-time performance in the face of failures. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Source
Lecture Notes in Networks and Systems;Volume;1906 LNNS;pp.333-346
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Decentralized machine learning; Edge computing; Federated learning; Resilient framework
Coverage
Reddy S.V.V., Department of Computer Science, CHRIST (Deemed to Be University), NCR, Delhi, India; Singh M., Department of Computer Science, CHRIST (Deemed to Be University), NCR, Delhi, India; Singhal P., School of Computer Science and Engineering, Chandigarh University, Uttar Pradesh, Lucknow, India; Singh J., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, Uttar Pradesh, Ghaziabad, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-303220993-1;
Format
online
Language
English
Type
Conference paper

Citation

Reddy, Sangati Veera Vardhan; Singh, Madan; Singhal, Prateek; Singh, Jitendra, “Fault-Tolerant Strategies and Federated Learning for Resilient Edge Computing: A Comprehensive Survey,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25412.

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