continual learning 1elastic weight consolidation 1federated learning 1multimodal models 1synthetic replay 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
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…
cs.LG2026
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…
cs.LG2025
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…