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pro vyhledávání: '"Scully, Ted"'
Distributed collaborative machine learning (DCML) is a promising method in the Internet of Things (IoT) domain for training deep learning models, as data is distributed across multiple devices. A key advantage of this approach is that it improves dat
Externí odkaz:
http://arxiv.org/abs/2307.13266
In recent years, deep learning (DL) models have demonstrated remarkable achievements on non-trivial tasks such as speech recognition and natural language understanding. One of the significant contributors to its success is the proliferation of end de
Externí odkaz:
http://arxiv.org/abs/2204.03326
Autor:
Joshi, Praveen, Thapa, Chandra, Camtepe, Seyit, Hasanuzzamana, Mohammed, Scully, Ted, Afli, Haithem
Federated Learning (FL), Split Learning (SL), and SplitFed Learning (SFL) are three recent developments in distributed machine learning that are gaining attention due to their ability to preserve the privacy of raw data. Thus, they are widely applica
Externí odkaz:
http://arxiv.org/abs/2109.09246
In software reverse engineering, decompilation is the process of recovering source code from binary files. Decompilers are used when it is necessary to understand or analyze software for which the source code is not available. Although existing decom
Externí odkaz:
http://arxiv.org/abs/2101.08116
Publikováno v:
In Energy Conversion and Management 15 February 2020 206
Publikováno v:
In Energy Conversion and Management 15 October 2018 174:157-174
Akademický článek
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Publikováno v:
In Energy Procedia 2014 62:676-685
Autor:
Joshi, Praveen, Thapa, Chandra, Camtepe, Seyit, Hasanuzzaman, Mohammed, Scully, Ted, Afli, Haithem
Publikováno v:
Methods & Protocols; Aug2022, Vol. 5 Issue 4, p60-60, 15p