Summary and Outlook
Kai Li (),
Xin Yuan () and
Wei Ni ()
Additional contact information
Kai Li: University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Xin Yuan: Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61 Business Unit
Wei Ni: Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61 Business Unit
Chapter 13 in Security and Resilience in Distributed Machine Learning, 2026, pp 235-238 from Springer
Abstract:
Abstract The advancement of FL marks a transformative step toward building resilient, secure, and scalable distributed intelligence. However, this emerging paradigm introduces new challenges in adversarial robustness, privacy protection, and system efficiency. This chapter presents key research frontiers that define the next generation of resilient FL systems, focusing on security and resilience, personalization, and the integration of XAI to enhance transparency and trust.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-032-23959-4_13
Ordering information: This item can be ordered from
http://www.springer.com/9783032239594
DOI: 10.1007/978-3-032-23959-4_13
Access Statistics for this chapter
More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().