2026-04-06T12:24:29Zhttps://openaccess.uoc.edu/server/oai/request
oai:openaccess.uoc.edu:10609/1365662025-10-03T09:49:09Zcom_10609_4561com_10609_4521com_10609_67col_10609_4581
Repositori Institucional (O2) author Blanco-Justicia, Alberto author Domingo-Ferrer, Josep author Martínez Lluís, Sergio author Sánchez Ruenes, David author Flanagan, Adrian author Tan, Kuan Eik other Universitat Oberta de Catalunya (UOC) other Universitat Rovira i Virgili (URV) other Huawei Technologies 2021-12-20T19:13:46Z 2021-12-20T19:13:46Z 2021-09-17 Blanco-Justicia, A. [Alberto], Domingo Ferrer, J. [Josep], Martínez, S. [Sergio], Sánchez Ruenes, D. [David], Flanagan, A. [Adrian] & Tan, K.E. [Kuan Eeik]. (2021). Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. Engineering Applications of Artificial Intelligence, 106(), 1-14. doi: 10.1016/j.engappai.2021.104468 0952-1976 https://hdl.handle.net/10609/136566 10.1016/j.engappai.2021.104468 Federated learning (FL) allows a server to learn a machine learning (ML) model across multiple decentralized clients that privately store their own training data. In contrast with centralized ML approaches, FL saves computation to the server and does not require the clients to outsource their private data to the server. However, FL is not free of issues. On the one hand, the model updates sent by the clients at each training epoch might leak information on the clients' private data. On the other hand, the model learnt by the server may be subjected to attacks by malicious clients; these security attacks might poison the model or prevent it from converging. In this paper, we first examine security and privacy attacks to FL and critically survey solutions proposed in the literature to mitigate each attack. Afterwards, we discuss the difficulty of simultaneously achieving security and privacy protection. Finally, we sketch ways to tackle this open problem and attain both security and privacy. eng CC BY-NC-ND federated learning machine learning privacy security aprendizaje automático privacidad seguridad aprendizaje federado aprenentatge automàtic privacitat seguretat aprenentatge federat Achieving security and privacy in federated learning systems: Survey, research challenges and future directions info:eu-repo/semantics/article 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 URL https://openaccess.uoc.edu/bitstreams/7e90f92c-5672-4431-a668-0366766f21a2/download File MD5 908ad398d77fd0e5a9337acf5687d4d2 2900447 application/pdf Achieving security and privacy.pdf