FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning
Efficient federated communication via low-rank Hadamard product decomposition of weight matrices
                
                
                  
                
                  
                    #federated-learning
                  
                
                
                  
                  
                    #weight-matrix
                  
                
                
                  
                  
                    #low-rank
                  
                
                
              
Model-Contrastive Federated Learning
Local model representations are contrastively-encouraged to follow the global representation during federated learning
                
                
                  
                
                  
                    #federated-learning
                  
                
                
                  
                  
                    #self-supervised