Understanding Transformers and Federated Learning
The Transformer, as an attention-based encoder-decoder architecture, has not only revolutionized the field of Natural Language Processing (NLP) but has also made groundbreaking contributions in the field of Computer Vision (CV). Compared to Convolutional Neural Networks (CNNs), Vision Transformers (ViT) rely on excellent modeling capabilities, achieving outstanding performance on multiple benchmarks such as ImageNet, COCO, … Read more