Tarik Taleb
Computer Networks and Communications · 2007–2021
A researcher in the Science corpus: 14 papers; trusts 24 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 255 citations into it; #4,955 of 9,886 by trust here, #390 by citations
- Electrical and Electronic Engineering — 140 citations into it; #10,062 of 16,539 by trust here, #5,675 by citations
- Artificial Intelligence — 123 citations into it
- Federated & Distributed Learning — 48 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it; #16,752 of 21,575 by trust here, #8,831 by citations
- Computer Science Applications — 30 citations into it
- Aerospace Engineering — 13 citations into it; #2,201 of 6,421 by trust here, #1,703 by citations
- Efficiency & Compression — 7 citations into it
Whom Tarik Taleb trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mahadev Satyanarayanan
- Xu Chen
- Lars Wischhof
- Rashid Mijumbi
- Sye Loong Keoh
- Seungwon Shin
- Byung-Gon Chun
- Phillip A. Porras
- Courtney S. Sharp
- Srikanth Saripalli
Who trusts Tarik Taleb overall
- Min Chen
- Pawani Porambage
- Alcardo Alex Barakabitze
- Shalitha Wijethilaka
- Madhusanka Liyanage
- Saeed Hamood Alsamhi
- Yiwen Han
- Jude Okwuibe
- Yixue Hao
- Arslan Ahmad
Papers from Tarik Taleb's perspective
Ordered by how strongly the researchers Tarik Taleb trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- UAV-Based IoT Platform: A Crowd Surveillance Use Case (2017) — 660 citations
- Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching (2020) — 364 citations
- Machine-type communications: current status and future perspectives toward 5G systems (2015) — 423 citations
- Survey on Multi-Access Edge Computing for Internet of Things Realization (2018) — 652 citations
- Machine type communications in 3GPP networks: potential, challenges, and solutions (2012) — 396 citations
- Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems (2021) — 423 citations
- A Stable Routing Protocol to Support ITS Services in VANET Networks (2007) — 492 citations
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019) — 346 citations
- Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions (2018) — 926 citations
- Edge Computing for the Internet of Things: A Case Study (2018) — 563 citations
- On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration (2017) — 1,530 citations
- Mobile Edge Computing Potential in Making Cities Smarter (2017) — 371 citations
- Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives (2016) — 827 citations
- Cache in the air: exploiting content caching and delivery techniques for 5G systems (2014) — 1,045 citations