D
Deze Zeng
Researcher at China University of Geosciences (Wuhan)
Publications - 179
Citations - 4671
Deze Zeng is an academic researcher from China University of Geosciences (Wuhan). The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 29, co-authored 151 publications receiving 3190 citations. Previous affiliations of Deze Zeng include University of Aizu.
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Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System
TL;DR: A computation-efficient solution is proposed based on the formulation and validated by extensive simulation based studies to deal with the high computation complexity of fog computing supported software-defined embedded system.
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A Learning-Based Incentive Mechanism for Federated Learning
TL;DR: The incentive mechanism for federated learning to motivate edge nodes to contribute model training is studied and a deep reinforcement learning-based (DRL) incentive mechanism has been designed to determine the optimal pricing strategy for the parameter server and the optimal training strategies for edge nodes.
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Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System
TL;DR: Fog computation and MCPS are integrated to build fog computing supported MCPS (FC-MCPS), and an LP-based two-phase heuristic algorithm is proposed that produces near optimal solution and significantly outperforms a greedy algorithm.
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A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies
TL;DR: An introduction and the motivation to the evolution from smart grid to EI are presented and a representative EI architecture is introduced, i.e., the future renewable electric energy delivery and management system.
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Big Data Meet Green Challenges: Big Data Toward Green Applications
TL;DR: The relations between the trend of big data era and that of the new generation green revolution are discovered through a comprehensive and panoramic literature survey in big data technologies toward various green objectives and a discussion on relevant challenges and future directions.