Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training

N Provatas, I Chalas, I Konstantinou, N Koziris - IEEE Access, 2025 - ieeexplore.ieee.org
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 …

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 …

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 …