Federated learning with context-aware client collaboration: Challenges, advances, and open problems
Open Access
- 9 May 2026
- journal article
- Published by Elsevier in Information Fusion
- Vol. 136
Abstract
No abstract availableThis publication has 63 references indexed in Scilit:
- Simulafed: an enhanced federated simulated environment for privacy and security in healthComputing, 2024
- A comprehensive survey of federated transfer learning: challenges, methods and applicationsFrontiers of Computer Science, 2024
- An overview of implementing security and privacy in federated learningArtificial Intelligence Review, 2024
- A survey on federated learning: a perspective from multi-party computationFrontiers of Computer Science, 2023
- Federated learning: a comprehensive review of recent advances and applicationsMultimedia Tools and Applications, 2023
- Federated Learning on Multimodal Data: A Comprehensive SurveyMachine Intelligence Research, 2023
- A survey on federated learning: challenges and applicationsInternational Journal of Machine Learning and Cybernetics, 2022
- Communication efficiency optimization in federated learning based on multi-objective evolutionary algorithmEvolutionary Intelligence, 2022
- Threats to Federated Learning2020
- From distributed machine learning to federated learning: In the view of data privacy and securityConcurrency and Computation: Practice and Experience, 2020