Yueyue Dai
Computer Networks and Communications · 2019–2020
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 23 citations into it
- Artificial Intelligence — 20 citations into it
- Electrical and Electronic Engineering — 18 citations into it
Whom Yueyue Dai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuyi Mao
- Xu Chen
- Jiawen Kang
- Yanting Wang
- Weiwen Zhang
- Jun Zhang
- Yan Zhang
- Rong Yu
- Cynthia Dwork
- David S. Johnson
Who trusts Yueyue Dai overall
Papers from Yueyue Dai's perspective
Ordered by how strongly the researchers Yueyue Dai trusts endorse each paper. Same corpus, a different order for every researcher.
- Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices (IEEE Journal on Selected Areas in Communications)
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Deep Learning with Differential Privacy
- Learning Multiple Layers of Features from Tiny Images
- Delay-optimal computation task scheduling for mobile-edge computing systems (International Symposium on Information Theory)
- Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing (IEEE/ACM Transactions on Networking)
- A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
- Bitcoin: A Peer-to-Peer Electronic Cash System
- A Survey on Mobile Edge Computing: The Communication Perspective
- ImageNet classification with deep convolutional neural networks
Their papers
- Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics (2020) — 315 citations
- Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT (2020) — 1,049 citations
- Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks (2019) — 403 citations
- Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond (2019) — 288 citations