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Compared to the other survey articles this presented review article provides a brief analysis of the different privacy terms utilized in FL. The categorization of the privacy preservation models in FL highlights the significance of the model and the obstacles that limit the application of the particular privacy preservation model in real-time application. Further, this review articles ensure the details about the year of publishing, performance metrics analyzed in different articles along with their achievements. The limitation experienced in each category of the privacy-preserving technique is elaborated briefly, which assists future researchers to explore more privacy-preserving models in FL.<\/jats:p>","DOI":"10.3233\/idt-230104","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T17:15:59Z","timestamp":1706289359000},"page":"135-149","source":"Crossref","is-referenced-by-count":2,"title":["Privacy preservation using optimized Federated Learning: A critical survey"],"prefix":"10.1177","volume":"18","author":[{"given":"Yogita Sachin","family":"Narule","sequence":"first","affiliation":[]},{"given":"Kalpana Sunil","family":"Thakre","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"issue":"8","key":"10.3233\/IDT-230104_ref1","doi-asserted-by":"crossref","first-page":"2864","DOI":"10.3390\/app10082864","article-title":"FedOpt: Towards communication efficiency and privacy preservation in federated learning","volume":"10","author":"Asad","year":"2020","journal-title":"Applied Sciences."},{"key":"10.3233\/IDT-230104_ref2","doi-asserted-by":"crossref","first-page":"101889","DOI":"10.1016\/j.cose.2020.101889","article-title":"Highly efficient federated learning with strong privacy preservation in cloud computing","volume":"96","author":"Fang","year":"2020","journal-title":"Computers & Security."},{"key":"10.3233\/IDT-230104_ref3","doi-asserted-by":"crossref","first-page":"102199","DOI":"10.1016\/j.cose.2021.102199","article-title":"Privacy-preserving and communication-efficient federated learning in internet of things","volume":"103","author":"Fang","year":"2021","journal-title":"Computers & Security."},{"issue":"8","key":"10.3233\/IDT-230104_ref4","doi-asserted-by":"crossref","first-page":"6178","DOI":"10.1109\/JIOT.2020.3022911","article-title":"Privacy-preserving federated learning framework based on chained secure multiparty computing","volume":"8","author":"Li","year":"2020","journal-title":"IEEE Internet of Things Journal."},{"key":"10.3233\/IDT-230104_ref5","doi-asserted-by":"crossref","unstructured":"Ur Rehman MH, Salah K, Damiani E, Svetinovic D. 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