2 papers
cs.LG2025
Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective
Yuan Yao, Xiaopu Zhang, Yu Zhang +2
Semi-supervised heterogeneous domain adaptation (SHDA) addresses learning across domains with distinct feature representations and distributions, where source samples are labeled w…
cs.DC2024
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng, Yufeng Zhan, DiHua Zhai +2
As an emerging computing paradigm, edge computing offers computing resources closer to the data sources, helping to improve the service quality of many real-time applications. A cr…