Group-Based Parallel Split Federated Learning
- 19 May 2026
- book chapter
- Published by Springer Nature
- p. 237-250
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- HFSL: heterogeneity split federated learning based on client computing capabilitiesThe Journal of Supercomputing, 2024
- Evaluating Security and Robustness for Split Federated Learning Against Poisoning AttacksIEEE Transactions on Information Forensics and Security, 2024
- PiPar: Pipeline parallelism for collaborative machine learningJournal of Parallel and Distributed Computing, 2024
- Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration2024
- MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation2024
- ESFL: Efficient Split Federated Learning Over Resource-Constrained Heterogeneous Wireless DevicesIEEE Internet of Things Journal, 2024
- TrustBCFL: Mitigating Data Bias in IoT Through Blockchain-Enabled Federated LearningIEEE Internet of Things Journal, 2024
- CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated LearningIEEE Transactions on Mobile Computing, 2024
- FedSL: A Communication-Efficient Federated Learning With Split Layer AggregationIEEE Internet of Things Journal, 2024
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998