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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.NI2023★ 1 cited
Multi-Task Offloading via Graph Neural Networks in Heterogeneous Multi-access Edge Computing
Mulei Ma
In the rapidly evolving field of Heterogeneous Multi-access Edge Computing (HMEC), efficient task offloading plays a pivotal role in optimizing system throughput and resource utili…
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…