Applications of knowledge distillation in remote sensing: A survey
With the ever-growing complexity of models in the field of remote sensing (RS), there is an
increasing demand for solutions that balance model accuracy with computational efficiency …
increasing demand for solutions that balance model accuracy with computational efficiency …
Enhancing Both Generalization and Personalization in Personalized Federated Learning via Global and Local Knowledge Distillation
K Liu - 2024 5th International Conference on Information …, 2024 - ieeexplore.ieee.org
Federated Learning (FL) is a distributed machine learning framework that incorporates
privacy protection. Under the coordination of a central server, clients collaboratively train a …
privacy protection. Under the coordination of a central server, clients collaboratively train a …
Federated class continual learning in medical imaging: a study of FedEWC and FedLwF strategies against catastrophic forgetting
Z Yang - Fifth International Conference on Computer Vision …, 2024 - spiedigitallibrary.org
With the deep integration and wide application of Artificial Intelligence (AI) technology in
medical imaging, medical imaging is experiencing unprecedented technological innovation …
medical imaging, medical imaging is experiencing unprecedented technological innovation …