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Graph-Deep-Reinforcement-Learning-Based Joint Computation Offloading and SFC Deployment in UAV-Assisted Edge Computing

• Authors : Chai, Yuan; Chen, Quan; Cheng, Lianglun

Subjects: edge computing; computation offloading; SFC deployment

• Source: Chai, Y, Chen, Q, Cheng, L & Zeng, X 2026, 'Graph-Deep-Reinforcement-Learning-Based Joint Computation Offloading and SFC Deployment in UAV-Assisted Edge

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Stackelberg Game-Based Joint Computing Resource Allocation and Task Offloading Method in Edge Computing

• Authors : Chai, Yuan; Zeng, Xiaojun; Chen, Quan

Subjects: edge computing; computing resource allocation; task offloading

• Source: Chai, Y, Zeng, X, Chen, Q & Cheng, L 2025, 'Stackelberg Game-Based Joint Computing Resource Allocation and Task Offloading Method in Edge

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An Evaluation of Bio-Inspired Resource Allocation Methods for Vehicular Edge Computing

• Authors : Dias Lieira, Douglas; Sanches Quessada, Matheus; Sampaio, Sandra

Subjects: Vehicular Edge Computing; Edge Computing; Resource Allocation

• Source: Dias Lieira, D, Sanches Quessada, M, Sampaio, S, A. F. Loureiro, A & I. Meneguette, R 2023, 'An Evaluation of Bio-Inspired Resource Allocation Methods for Vehicular Edge

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An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing

• Authors : Su, Zhe; Ramini, Simone; Coffen Marcolin, Demetra

Subjects: NoC; Neuromorphic; Asynchronous

• Source: Su, Z, Ramini, S, Coffen Marcolin, D, Veronesi, A, Krstic, M, Indiveri, G, Bertozzi, D & Nowick, S M 2024, 'An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic

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Enhancing Edge Computing with Unikernels in 6GNetworks

• Authors : Yazdani, Syed; Ramzan, Naeem; Olivier, Pierre

Subjects: Virtualization; Unikernel; 6G

• Source: Yazdani, S, Ramzan, N & Olivier, P 2023, Enhancing Edge Computing with Unikernels in 6GNetworks. in IEEE International Symposium on

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Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition

• Authors : Zebin, Tahmina; Scully, Patricia J.; Peek, Niels

Subjects: convolutional neural networks; edge computing; TensorFlow Lite

• Source: Zebin, T, Scully, P J, Peek, N, Casson, A & Ozanyan, K 2020, 'Design and implementation of a convolutional neural network on an edge

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Shapley value-based computation offloading for edge computing

• Authors : Chai, Yuan; Zeng, Xiaojun

• Source: Chai, Y & Zeng, X 2023, 'Shapley value-based computation offloading for edge computing', IEEE Transactions on Vehicular Technology, vol.

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H-Container: Enabling Heterogeneous-ISA Container Migration in Edge Computing

• Authors : Xing, Tong; Barbalace, Antonio; Olivier, Pierre

Subjects: Edge; containers; heterogeneous ISA

• Source: Xing, T, Barbalace, A, Olivier, P, Karaoui, M L, Wang, W & Ravindran, B 2022, 'H-Container: Enabling Heterogeneous-ISA Container Migration in Edge

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Energy Efficiency in Hybrid NOMA-MEC Networks

• Authors : Huang, Wenqi; Wang, Kaidi; Lin, Yushen

Subjects: Energy efficiency; mobile edge computing (MEC); non-orthogonal multiple access (NOMA)

• Source: Huang, W, Wang, K, Lin, Y & Ding, Z 2025, 'Energy Efficiency in Hybrid NOMA-MEC Networks', IEEE Transactions on Wireless Communications, vol. 24, no. 7. https://doi.org/10.1109/TWC.2025.3547252

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Computation Energy Efficiency Maximization of SWIPT-Assisted FD-NOMA MEC Systems

• Authors : Goktas, Muhammed Burak; Ding, Zhiguo

Subjects: Non-orthogonal multiple access (NOMA); full-duplex communications; mobile edge computing (MEC)

• Source: Goktas, M B & Ding, Z 2024, 'Computation Energy Efficiency Maximization of SWIPT-Assisted FD-NOMA MEC Systems', Paper presented at 2024 11th International Conference on Wireless Networks and Mobile

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