FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]

The rapid advancement of deep learning has catalyzed the development of novel IoT applications, which often deploy pre-trained deep neural network (DNN) models across multiple edge devices for collaborative inference.

Publication Details

Journal
ArXiv.org
Published
2025-02-21
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
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article

FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]

ArXiv.org
Advanced Neural Network Applications
article

FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]

article en

Abstract

The rapid advancement of deep learning has catalyzed the development of novel IoT applications, which often deploy pre-trained deep neural network (DNN) models across multiple edge devices for collaborative inference.

ArXiv.org
Openalex Percentile: Top 50%
Advanced Neural Network Applications
Open Access PDFOpenAlex
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FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report] · ArXiv.org (2025) | TGRS Research Map | TGRS