Sabita Maharjan
Computer Networks and Communications · 2013–2020
A researcher in the Science corpus: 12 papers; trusts 14 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 69 citations into it
- Electrical and Electronic Engineering — 68 citations into it; #6,119 of 16,539 by trust here, #3,639 by citations
- Artificial Intelligence — 47 citations into it; #18,406 of 35,345 by trust here, #9,170 by citations
- Information Systems — 26 citations into it; #2,358 of 8,771 by trust here, #471 by citations
- Automotive Engineering — 8 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Privacy & Security — 5 citations into it
Whom Sabita Maharjan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rayadurgam Srikant
- Jiawen Kang
- Yan Zhang
- Alex Krizhevsky
- Rong Yu
- Yuyi Mao
- Tamer Basar
- Cynthia Dwork
- H. Brendan McMahan
- Anthony Dewayne Hunt
Who trusts Sabita Maharjan overall
- Mengmeng Yu
- Jiawen Kang
- Wayes Tushar
- Dinh C. Nguyen
- John S. Vardakas
- Amrit Paudel
- Nian Liu
- Zhetao Li
- Keke Gai
- Yunlong Lu
Papers from Sabita Maharjan's perspective
Ordered by how strongly the researchers Sabita Maharjan trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Deep Learning with Differential Privacy
- Bitcoin: A Peer-to-Peer Electronic Cash System
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Rate control for communication networks: shadow prices, proportional fairness and stability
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
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
- Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach (2013) — 743 citations
- Vehicular Edge Computing and Networking: A Survey (2019) — 546 citations
- Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles (2020) — 600 citations
- Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics (2020) — 315 citations
- Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach (2020) — 295 citations
- Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks (2020) — 440 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
- Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks (2016) — 751 citations