3 papers
cs.LG2025
An Attention-based Feature Memory Design for Energy-Efficient Continual Learning
Yuandou Wang, Filip Gunnarsson, Rihan Hai
Tabular data streams are increasingly prevalent in real-time decision-making across healthcare, finance, and the Internet of Things, often generated and processed on resource-const…
cs.DC2025
Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow
Yuandou Wang, Zhiming Zhao
Federated Learning (FL) has recently emerged as a collaborative learning paradigm that can train a global model among distributed participants without raw data exchange to satisfy…
cs.CR2025
CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling
Shaojie Hou, Yuandou Wang, Zhiming Zhao
Active Learning (AL) is a machine learning technique where the model selectively queries the most informative data points for labeling by human experts. Integrating AL with crowdso…