1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.NI2024
FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading
Mulei Ma, Chenyu Gong, Liekang Zeng +2
Federated Learning (FL) has emerged as a fundamental learning paradigm to harness massive data scattered at geo-distributed edge devices in a privacy-preserving way. Given the hete…
cs.NI2022
6G Network AI Architecture for Everyone-Centric Customized Services
Yang Yang, Mulei Ma, Hequan Wu +51
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to…
cs.IT2021★ 1 cited
Towards Efficient Compressive Data Collection in the Internet of Things
Peng Sun, Liantao Wu, Zhi Wang
It is of paramount importance to achieve efficient data collection in the Internet of Things (IoT). Due to the inherent structural properties (e.g., sparsity) existing in many sign…