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20102026
most citedConvergence of Edge Computing and Deep Learning: A Comprehensive Survey

1.5k citations · 13.5k across the 438 of their papers we have counts for

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Showing 2018Show all

21 papers · 1 filter

cs.NI2018

Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks

Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +3

This letter proposes two novel proactive cooperative caching approaches using deep learning (DL) to predict users' content demand in a mobile edge caching network. In the first app…

cs.NI2018★ 10 cited

Deep Q-Learning for Dynamic Reliability Aware NFV-Based Service Provisioning

Hamed Rahmani Khezri, Puria Azadi Moghadam, Mohammad Karimzadeh Farshbafan +3

Network function virtualization (NFV) is referred to the technology in which softwarized network functions virtually run on commodity servers. Such functions are called virtual net…

cs.CR2018★ 9 cited

Joint Service Pricing and Cooperative Relay Communication for Federated Learning

Shaohan Feng, Dusit Niyato, Ping Wang +2

For the sake of protecting data privacy and due to the rapid development of mobile devices, e.g., powerful central processing unit (CPU) and nascent neural processing unit (NPU), c…

cs.GT2018

Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shard

Zhengwei Ni, Wenbo Wang, Dong In Kim +2

With the development of decentralized consensus protocols, permissionless blockchains have been envisioned as a promising enabler for the general-purpose transaction-driven, autono…

cs.IT2018

Network Slicing with Mobile Edge Computing for Micro-Operator Networks in Beyond 5G

Tachporn Sanguanpuak, Nandana Rajatheva, Dusit Niyato +1

We model the scenarios of network slicing allocation for the micro-operator (MO) network. The MO creates the slices "as a service" of wireless resource and then allocates these sli…

cs.NI2018★ 3 cited

Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach

Nguyen Cong Luong, Tran The Anh, Huynh Thi Thanh Binh +3

To ensure that the data aggregation, data storage, and data processing are all performed in a decentralized but trusted manner, we propose to use the blockchain with the mining poo…