F. I. H. Vincent Poor

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom F. I. H. Vincent Poor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sinan Gezici
  2. Zhi Ning Chen
  3. Max J. Ammann
  4. Joon-Yong Lee
  5. Bardia Alavi
  6. Zafer Sahinoglu
  7. Weihua Zhuang
  8. Robert A. Scholtz
  9. Shigeo Abe
  10. Kaveh Pahlavan

Who trusts F. I. H. Vincent Poor overall

  1. Zhiguo Ding
  2. Yuanwei Liu
  3. Jinyun Zhang

Papers from F. I. H. Vincent Poor's perspective

Ordered by how strongly the researchers F. I. H. Vincent Poor trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Communication-Efficient Learning of Deep Networks from Decentralized Data
  2. Federated Learning: Strategies for Improving Communication Efficiency
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Information Theory: 1948-1998 - Guest Editorial
  5. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
  6. ImageNet classification with deep convolutional neural networks
  7. Federated Learning in Mobile Edge Networks: A Comprehensive Survey
  8. Gradient-based learning applied to document recognition
  9. Towards Federated Learning at Scale: System Design
  10. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (IEEE Signal Processing Magazine)

Their papers