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Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training
Deep learning plays a pivotal role in numerous big data applications by enhancing the
accuracy of models. However, the abundance of available data presents a challenge when …
accuracy of models. However, the abundance of available data presents a challenge when …
Cloud-Dew Computing Cyber Attack Detection using Asynchronous Training for Distributed LSTM-AE
MM Moussa, L Alazzawi - 2023 IEEE World AI IoT Congress …, 2023 - ieeexplore.ieee.org
The development of effective and trustworthy detection systems is essential given the
serious threat that cyberattacks pose to connected and autonomous applications. A …
serious threat that cyberattacks pose to connected and autonomous applications. A …
Dynamic Distribution Strategy of Distributed Tasks Based on Limited Synchronous Parallel
W Zhu, M Xue, P Xu, J Zhang, C Sun - 2022 - researchsquare.com
In a distributed deep learning system based on mobile service computing, there may be
differences in performance between computing nodes, which may be affected by the …
differences in performance between computing nodes, which may be affected by the …