Showing 2026Show all
2 papers · 1 filter
cs.CV2026
CASISR: Circular Arbitrary-Scale Image Super-Resolution
Honggui Li, Zhengyang Zhang, Dingtai Li +11
The generalization performance (GP) of deep learning-based arbitrary-scale image super-resolution (ASISR) methods is subject to limited training datasets and unlimited testing data…
cs.LG2026
FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks
Chenyu Hu, Qiming Hu, Sinan Chen +3
Federated Learning (FL) enables multiple clients to collaboratively train a shared model without exposing local data. However, backdoor attacks pose a significant threat to FL. The…