Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Reddy, Sangati Veera Vardhan; Singh, Madan; Singhal, Prateek; Singh, Jitendra Title A name given to the resource Fault-Tolerant Strategies and Federated Learning for Resilient Edge Computing: A Comprehensive Survey Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1906 LNNS;pp.333-346 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-20994-8_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-20994-8_28</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039085027?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039085027?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource Decentralized machine learning; Edge computing; Federated learning; Resilient framework Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303220993-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online