I. Introduction  
II. Preliminaries  
A. Federated Learning  
B. Definitions and Notations of VFL  
III. Contribution Evaluation in VFL  
IV. Open Challenges and Future Directions  
A. Privacy and Security  
B. Communication Overhead  
C. Fairness  
D. Multi-objective Optimization  
E. Data Valuation  
V. Conclusion