1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2025
EdgeSync: Accelerating Edge-Model Updates for Data Drift through Adaptive Continuous Learning
Runchu Donga, Peng Zhao, Guiqin Wang +2
Real-time video analytics systems typically deploy lightweight models on edge devices to reduce latency. However, the distribution of data features may change over time due to vari…
cs.CV2025
Generative Model-Based Feature Attention Module for Video Action Analysis
Guiqin Wang, Peng Zhao, Cong Zhao +3
Video action analysis is a foundational technology within the realm of intelligent video comprehension, particularly concerning its application in Internet of Things(IoT). However,…
cs.LG2020★ 1 cited
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
Yuanrui Dong, Peng Zhao, Hanqiao Yu +2
The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims at improving the performance of practical DL implementations in terms of cloud bandwidth consumption, respons…