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View all- Weiss MTonella P(2023)Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural NetworksACM Transactions on Software Engineering and Methodology10.1145/361759333:1(1-29)Online publication date: 23-Nov-2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report
Article No.: 29, Pages 1 - 4
Abstract
This is the Replicated Computational Results (RCR) Report for our TOSEM paper “Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks”, where we propose a novel client-server architecture allowing to leverage the high accuracy of huge neural networks running on remote servers while reducing the economical and latency costs typically coming from using such models. As part of this RCR, we provide a replication package, which allows the full replication of all our results and is specifically designed to facilitate reuse.
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Association for Computing Machinery
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Publication History
Published: 23 November 2023
Online AM: 26 August 2023
Accepted: 23 May 2023
Received: 24 March 2023
Published in TOSEM Volume 33, Issue 1
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View all- Weiss MTonella P(2023)Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural NetworksACM Transactions on Software Engineering and Methodology10.1145/361759333:1(1-29)Online publication date: 23-Nov-2023
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