2 papers
cs.DC2025
Hyperion: Hierarchical Scheduling for Parallel LLM Acceleration in Multi-tier Networks
Mulei Ma, Xinyi Xu, Minrui Xu +3
LLMs are increasingly executed in edge where limited GPU memory and heterogeneous computation jointly constrain deployment which motivates model partitioning and request scheduling…
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…