Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices

Author:

Asadi Navidreza1ORCID,Goudarzi Maziar2ORCID

Affiliation:

1. Computer Engineering Department, Technical University of Munich, Munich, Germany

2. Computer Engineering Department, Sharif University of Technology, Tehran, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference28 articles.

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4. EfficientNetV2: Smaller models and faster training;Tan

5. SensAI: ConvNets decomposition via class parallelism for fast inference on live data;Wang

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