Zhaoyang Zhang

Graph-Attention-Based Decentralized Edge Learning for Non-IID Data

2023

In conventional decentralized learning, multiple agents collaboratively build a common machine learning model. However, due to the underlying non-i.i.d. data distribution among agents, the unified learning model becomes inefficient for each agent to process its …

Hierarchical Federated Edge Learning With Adaptive Clustering in Internet of Things

2024 · IEEE Internet of Things Journal

The expansion of the Internet of Things (IoT) has led to a significant surge in data flow over edge networks, posing substantial challenges to data mining and management. While federated edge learning (FEEL) effectively accomplishes …

Multi -Sources Information Fusion Learning for Multi-Points NLOS Localization

2024

Accurate localization of mobile terminals is crucial for integrated sensing and communication systems. Existing fingerprint localization methods, which deduce coordinates from channel information in pre-defined rectangular areas, struggle with the heterogeneous fingerprint distribution inherent in …

Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph

2024 · arXiv (Cornell University)

In this paper, we aim to address a significant challenge in the field of missing data imputation: identifying and leveraging the interdependencies among features to enhance missing data imputation for tabular data. We introduce a …