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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jian Cao

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2 papers indexed here

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2026

FedAD: An Adaptive Block Dropping Approach for Federated Learning on Resource-Constrained Devices

—In a federated learning environment with heterogeneous, limited and time-varying computational resource capabilities, it is challenging to update deep neural network in real-time. To address this challenge, we propose FedAD, an adaptive block-dropping approach for federated learning on resource-constrained devices. Fe...

Qi-Qi Cai, Jian Cao, Jian-Qing Zhang et al. · 0 citations
Book Open access Apr 2024

MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms

With its elastic power and a pay-as-you-go cost model, the deployment of deep learning inference services (DLISs) on serverless platforms is emerging as a prevalent trend. However, the varying resource requirements of different layers in DL models hinder resource utilization and increase costs, when DLISs are deployed...

Ji-Aang Duan, Shiyou Qian, Dingyu Yang et al. · 7 citations

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