Partially Encrypted Federated Vision Transformers for Remote Sensing Scene Classification
N. Alam, et al. 4th International Conference on Computing Advancements (ICCA 2026), ACM, Oct 2026. First author, presented.
~95% About 95% accuracy on NWPU-RESISC45 with encryption on, on par with unencrypted training.
ViT-Base trained with FedAvg, with CKKS homomorphic encryption applied to the aggregation of selected layers.