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cs.NI2025
FENIX: Enabling In-Network DNN Inference with FPGA-Enhanced Programmable Switches
Xiangyu Gao, Tong Li, Yinchao Zhang +4
Machine learning (ML) is increasingly used in network data planes for advanced traffic analysis, but existing solutions (such as FlowLens, N3IC, BoS) still struggle to simultaneous…
cs.NI2025
Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
Yinchao Zhang, Su Yao, Yong Feng +9
The paradigm of Intelligent DataPlane (IDP) embeds deep learning (DL) models on the network dataplane to enable intelligent traffic analysis at line-speed. However, the current use…