3 papers
cs.LG2026
Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks
Haihui Xie, Wenkun Wen, Shuwu Chen +2
Large-scale Internet of Things (IoT) networks enable intelligent services such as smart cities and autonomous driving, but often face resource constraints. Collecting heterogeneous…
cs.IT2024
Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks
Haihui Xie, Minghua Xia, Peiran Wu +2
Federated learning (FL) enables wireless terminals to collaboratively learn a shared parameter model while keeping all the training data on devices per se. Parameter sharing consis…
cs.IT2023
Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication
Haihui Xie, Minghua Xia, Peiran Wu +2
In the Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent applications and services. As the network size becomes large, different users may…