2025
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients
ICCV 2025poster
Federated learning research has recently shifted from Convolutional Neural Networks (CNNs) to Vision Transformers (ViTs) due to their superior capacity. ViTs training demands higher computational resources due to the lack of 2D inductive biases inherent in CNNs. However, efficient federated training…