Federated Learning Survey: Aggregation Techniques, Experiments, and Future Directions
Research#Federated Learning🔬 Research|Analyzed: Jan 10, 2026 14:05•
Published: Nov 27, 2025 16:50
•1 min read
•ArXivAnalysis
This ArXiv paper provides a comprehensive overview of federated learning, a crucial area for privacy-preserving machine learning. The survey's focus on aggregation techniques and experimental insights is especially valuable for researchers and practitioners.
Key Takeaways
- •Provides a multi-level taxonomy of aggregation techniques.
- •Offers experimental insights into various federated learning approaches.
- •Highlights future frontiers and research directions in the field.
Reference / Citation
View Original"The survey covers a multi-level taxonomy of aggregation techniques."