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From the 2 of 6 linked papers with an AI index.

collaborators

6 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

PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

Jing Liu, Kun Yang, Yan Wang +5

The paper introduces PFAdapter, a framework that uses hierarchical LoRA decomposition to split adapter parameters into globally shared and locally private parts, enabling efficient…

cs.CV2026

Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity

Jing Liu, Zhengliang Guo, Yan Wang +4

Federated learning (FL) is severely challenged by non-independent and identically distributed (non-IID) client data, a problem that degrades global model performance, especially in…

cs.DC2026

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Jing Liu, Yao Du, Kun Yang +8

Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources…

cs.CV2025

Privacy-Preserving Video Anomaly Detection: A Survey

Yang Liu, Siao Liu, Xiaoguang Zhu +7

Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillance videos collected from open spaces to detect anomalous events that may cause harm…

cs.NI2025

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems

Linxiao Gong, Hao Yang, Gaoyun Fang +7

The explosive growth of video data has driven the development of distributed video analytics in cloud-edge-terminal collaborative (CETC) systems, enabling efficient video processin…