I. INTRODUCTION  
A. From Cloud Computing to Edge Intelligence (EI)  
B. Combination of EI and Socialized Learning (SL)  
C. Scenarios Overview of SL in EI  
D. Our Contributions  

II. BACKGROUND AND FUNDAMENTALS OF EI AND SL  
A. EI: Definition, Challenges, and Solutions  
B. The Basic Operation Rules in Society  
C. SL: A Function incorporating Multiple Intelligence  
D. Opportunities Brought by the Integration of EI and SL  
E. Review of Existing Similar Concepts  

III. EI CHALLENGES AND SL SOLUTIONS  
A. EI Challenges Addressed by SL  
B. SL Solutions for EI Challenges  
C. Lessons Learned  

IV. SOCIALIZED ARCHITECTURE FOR EI  
A. Functional Layers in Socialized Architecture  
B. Social Stratification in Socialized Architecture  
C. Lessons Learned  

V. SOCIALIZED TRAINING FOR EI  

VI. SOCIALIZED INFERENCE FOR EI  

VII. TUTORIALS FOR IMPLEMENTING SL IN EI  
A. Standardizations for Implementing SL in EI  
B. Platforms for Implementing SL in EI  

VIII. FUTURE APPLICATIONS AND FUTURE RESEARCH  
A. Future Applications of SL in EI  
B. Open Problems and Future Research  

IX. CONCLUSION