A survey on federated learning

2021/01/21 by Chen Zhang, Yu Xie, Hang Bai +3 · 9 citations
Computer Science · Social Sciences · #Cryptography and Data Security #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data

paper · doi:10.1016/j.knosys.2021.106775

openalex publication_date 2021/01/21 · crossref created 2021/01/21 · crossref issued 2021/03/01 · crossref published 2021/03/01 · crossref published-print 2021/03/01 · openalex created_date 2025/10/10 · crossref deposited 2025/10/16 · crossref indexed 2026/07/30 · openalex updated_date 2026/07/30

Citations

• Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
• Differentially Private Federated Learning: A Client Level Perspective
• Towards Federated Learning at Scale: System Design
• SecureBoost: A Lossless Federated Learning Framework
• Differentially Private Learning with Adaptive Clipping
• Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
• Adaptive Gradient-Based Meta-Learning Methods
• Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

Cited by

• Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
• Bridging Earth and Space: A Flexible and Resilient Federated Learning Framework Deployed on the International Space Station
• Federated learning frameworks: quality and interoperability for biomedical research
• FedGL: Federated Graph Learning Framework with Global Self-Supervision
• Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation
• Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities
• Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
• RobQFL: Robust Quantum Federated Learning in Adversarial Environment
• BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning