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Miao Cai

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#edge computing Oct 2026

Feature Map Compression for Split Learning in Mobile Wireless Environment: Theory and Practice

Split Learning (SL) enables collaborative model training by distributing computation between resource-constrained mobile edge devices and a central server. In this distributed framework, mobile edge devices compute the early layers of the model and transmit feature maps to the server. However, due to practical mobile w...

Wen-Xuan Zhou, Zhi-Hao Qu, Baoliu Ye et al. · 0 citations
Sep 2026

Resource Efficiency and Performance Predictability in A Groupwise, Hardware-Prioritized Cache on NVMe SSDs

Thanks to notable performance and capacity advantages, NVMe SSDs promise an effective cache tier for alleviating the load pressure of back-end storage servers. Compared with DRAM, an NVMe SSD exhibits up to hundreds of times larger capacity but delivers two orders of magnitude smaller bandwidth per gigabyte. This paper...

Miao Cai, Junru Shen, Baoliu Ye · 0 citations

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