3 papers
cs.LG2026
Distributed Dynamic Invariant Causal Prediction in Environmental Time Series
Ziruo Hao, Tao Yang, Xiaofeng Wu +1
The extraction of invariant causal relationships from time series data with environmental attributes is critical for robust decision-making in domains such as climate science and e…
cs.LG2025
Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty
Ziruo Hao, Zhenhua Cui, Tao Yang +3
This paper provides an invariant federated learning system for resource-constrained edge intelligence. This framework can mitigate the impact of heterogeneity and asynchrony via ex…
cs.LG2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence
Ziruo Hao, Zhenhua Cui, Tao Yang +3
Federated learning (FL) has provided a new methodology for coordinating a group of clients to train a machine learning model collaboratively, bringing an efficient paradigm in edge…