Patent ID: 11943114
Assignee: SHANDONG UNIVERSITY
Field: Digital communication (Electrical engineering)
Classification: CPC H  Y | IPC H

Claim 5:
6. The active edge caching method based on community discovery and weighted federated learning according to claim 4, wherein caching user selected in step (iv) uses the obtained content popularity deep learning prediction model to predict user preferences for different content at the next moment to cache hot content comprises:
(viii) in different user groups, inputting, by the caching users selected in step (4), locally recorded request data dr-ρ:ru for different content in the previous p time windows into the trained content popularity deep learning prediction model, and outputting user preferences  for different content at the next moment; subsequently, computing caching probabilities of different content in the selected caching users according to predicted results, as shown in formula (VII):, p
      
       r
       +
       1
      
      f
     
     =
     
            
       
        
         ∑
          
        
        
         f
         =
         1
        
        F
       
             
     
    
   
   
    
     (
     VII
     )
    
   
  
 

wherein, pr+1f represents a probability that content f is cached at the next moment,  represents a user preference for the content f at the next moment, and, ∑
     
   
   
    f
    =
    I
   
   F
  
  ⁢
  
   Y
   
    r
    +
    1
   
   f, represents a sum of user preferences for all content; and
(ix) sorting the caching probabilities by using a sorting algorithm, and selecting the first S pieces of content with the highest probability for caching at the selected user terminals.