J. H. Reed

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. H. Reed trusts overall

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

  1. Osvaldo Simeone

Who trusts J. H. Reed overall

  1. Dinh C. Nguyen

Papers from J. H. Reed's perspective

Ordered by how strongly the researchers J. H. Reed trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Communication-Efficient Learning of Deep Networks from Decentralized Data
  2. Exploiting Unintended Feature Leakage in Collaborative Learning
  3. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
  4. Federated Learning for Ultra-Reliable Low-Latency V2V Communications
  5. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
  6. Analyzing Federated Learning through an Adversarial Lens
  7. Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
  8. A Very Brief Introduction to Machine Learning With Applications to Communication Systems (IEEE Transactions on Cognitive Communications and Networking)
  9. Gradient-based learning applied to document recognition
  10. ImageNet classification with deep convolutional neural networks

Their papers