Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression

Fuente: arXiv

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Bibliographic Details
Main Authors:	Sung, Mingyu, Im, Suhwan, Bang, Daeho, Kim, Il-Min, Yun, Sangseok, Kang, Jae-Mo
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2511.11608