Rong Yu
Electrical and Electronic Engineering · 2011–2020
A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 17 citations into it; #6,745 of 16,539 by trust here, #3,580 by citations
- Artificial Intelligence — 16 citations into it; #34,705 of 35,345 by trust here, #16,471 by citations
- Federated & Distributed Learning — 5 citations into it
Whom Rong Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin A. Dufwenberg
- Anthony Dewayne Hunt
- Takayuki Nishio
- Jiawen Kang
- Radu Timofte
- Yong Yuan
- Yu Zhang
- Zhanwei Hou
- H. Brendan McMahan
- Nurzhan Zhumabekuly Aitzhan
Who trusts Rong Yu overall
- Jiawen Kang
- Wayes Tushar
- Keke Gai
- Zehui Xiong
- Dusist Niyato
- Yue Zhou
- Sabita Maharjan
- Yueyue Dai
- Chau Yuen
- Yulu Wu
Papers from Rong Yu's perspective
Ordered by how strongly the researchers Rong Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Bitcoin: A Peer-to-Peer Electronic Cash System
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- ImageNet classification with deep convolutional neural networks
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Federated Learning over Wireless Networks: Optimization Model Design and Analysis
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
- Game theory.
- Decentralizing Privacy: Using Blockchain to Protect Personal Data (2015 IEEE Security and Privacy Workshops)
Their papers
- Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks (2019) — 653 citations
- Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains (2017) — 1,001 citations
- Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach (2020) — 377 citations
- Cognitive machine-to-machine communications: visions and potentials for the smart grid (2012) — 389 citations
- Home M2M networks: Architectures, standards, and QoS improvement (2011) — 452 citations
- Toward cloud-based vehicular networks with efficient resource management (2013) — 407 citations
- Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things (2018) — 963 citations