works on

From the 1 of 6 linked papers with an AI index.

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

42 citations · 42 across the 4 of their papers we have counts for

collaborators

6 papers

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.AI2026

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks

Yao Du, Jing Liu, Pengfei Xu +4

In agentic systems, human-generated data records anchor the value of AI services. Yet cloud compute pipelines centralize processing on remote servers. Data centralization reduces p…

cs.CV2026

Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection

Yang Liu, Boan Chen, Yuanyuan Meng +5

As embodied perception systems increasingly bridge digital and physical realms in interactive multimedia applications, the need for privacy-preserving approaches to understand huma…

cs.DC202642 cited

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.NI2025

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks

Jiaqi Wu, Jing Liu, Yang Liu +6

The proliferation of Internet of things (IoT) devices in smart cities, transportation, healthcare, and industrial applications, coupled with the explosive growth of AI-driven servi…

cs.LG2025

Anomaly Detection and Generation with Diffusion Models: A Survey

Yang Liu, Jing Liu, Chengfang Li +7

Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by identifying unexpected patterns t…