From the 1 of 4 linked papers with an AI index.
4 papers
Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning
Jing Liu, Chenxuanyin Zou, Jiayang Ren +5
The paper introduces FedCMM, a framework that combines elastic weight consolidation, synthetic replay, and task‑similarity‑aware gradient aggregation to prevent catastrophic forget…
Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
Jing Liu, Zhenchao Ma, Han Yu +5
Recent advances in collaborative knowledge distillation have demonstrated cutting-edge performance for resource-constrained distributed multimedia learning scenarios. However, achi…
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Juncen Guo, Xiaoguang Zhu, Liangyu Teng +4
Class-incremental Learning (CIL) enables the model to incrementally absorb knowledge from new classes and build a generic classifier across all previously encountered classes. When…
A Survey on Diffusion Models for Anomaly Detection
Jing Liu, Zhenchao Ma, Zepu Wang +7
Diffusion models (DMs) have emerged as a powerful class of generative AI models, showing remarkable potential in anomaly detection (AD) tasks across various domains, such as cybers…