Author:
Gu Bontak,Kong Joonho,Munir Arslan,Kim Young Geun
Cited by
7 articles.
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1. ASHL: An Adaptive Multi-Stage Distributed Deep Learning Training Scheme for Heterogeneous Environments;IEEE Transactions on Computers;2024-01
2. TESCO: Multiple Simulations based AI-augmented Fog computing for QoS Optimization;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12
3. DynaComm: Accelerating Distributed CNN Training Between Edges and Clouds Through Dynamic Communication Scheduling;IEEE Journal on Selected Areas in Communications;2022-02
4. Alleviating Imbalance in Synchronous Distributed Training of Deep Neural Networks;2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2021-09
5. Artificial Intelligence and Data Fusion at the Edge;IEEE Aerospace and Electronic Systems Magazine;2021-07-01