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 Articles Article Faculty Publications -Articles 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 Optimization Based Rice Leaf Disease Classification in Federated Learning Subject The topic of the resource Archimedes optimization algorithm; Federated learning; Kalman filter; LeNet; Spotted hyena optimization Description An account of the resource Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry. Diseases that affect the leaves of rice plants severely limit their ability to produce rice, and they are typically brought on by bacteria, viruses, or fungi. This paper proposes an innovative classification scheme for rice leaf diseases based on Federated Learning (FL). Here, FL framework comprises two entities, namely nodes and servers. Every node does initial local training using local data. Moreover, produced local model is then updated on server. Model aggregation is done at the server since several nodes update their local models and send them to it. The nodes download the global model that server has generated as a result. The nodes update their training using transferred global model and local model. The following series of actions are taken in the training model. The input image is mainly obtained from a database and pre-processed with a Kalman filter to eliminate noise. Then, numerous operations for data augmentation are applied. In addition, feature extraction is done and generated features are used in LeNet for rice leaf diseases classification. LeNet is trained using the Spotted Hyena Archimedes Optimizer (SHAO). The developed method shows better precision of 91.3%, recall of 92.2%, f-measure of 91.7%, loss function of 3.3%, Mean Square Error (MSE) of 7.3%, and Root MSE of 27.1%. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Tripathy R.; Mandala J.; Pappu S.R.; Gopisetty G.K.D. Source A related resource from which the described resource is derived Multimedia Tools and Applications, Vol-83, No. 29, pp. 72491-72517. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11042-023-18085-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-023-18085-9</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184495486&amp;doi=10.1007%2Fs11042-023-18085-9&amp;partnerID=40&amp;md5=43791a700b9644163adeb6cb05d2e31b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184495486&amp;doi=10.1007%2fs11042-023-18085-9&amp;partnerID=40&amp;md5=43791a700b9644163adeb6cb05d2e31b</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 13807501; CODEN: MTAPF Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tripathy R., Chitkara University School of Engineering, Chitkara University, Himachal Pradesh, India; Mandala J., Department of Computer science and engineering, Christ (Deemed to be) University, Bangalore, India; Pappu S.R., Department of Computer Science and Engineering, GITAM (Deemed to be University),Visakhapatnam Campus, Andhra Pradesh, Visakhapatnam, India; Gopisetty G.K.D., Department of Information Technology, KKR &amp; KSR Institute of Technology and Sciences, Affiliated to JNTUK Kakinada, Guntur, India