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