2022
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
ICML 2022spotlight
Model fusion without accessing training data in machine learning has attracted increasing interest due to the practical resource-saving and data privacy issues. During the training process, the neural weights of each model can be randomly permuted, and we have to align the channels of each layer bef…