2 papers
cs.CR2026
FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting
Zhenyan Liu, Hua Zhang, Haoran Gao +6
Multimodal data collected by heterogeneous devices are used for collaborative training, where federated learning (FL) serves as a key paradigm for effective distributed modeling wi…
cs.CV2026
When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics
Jiahui Wang, Kai Zhang, Mai Han +1
Vision-Language Models (VLMs) have demonstrated remarkable capabilities but suffer from significant computational overhead during inference. While visual token pruning offers a pro…