Chamseddine Talhi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chamseddine Talhi trusts overall

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

  1. Alex Krizhevsky

Papers from Chamseddine Talhi's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. Federated Learning: Strategies for Improving Communication Efficiency
  4. Practical Secure Aggregation for Privacy-Preserving Machine Learning
  5. Federated Multi-Task Learning
  6. Learning Differentially Private Recurrent Language Models
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
  10. Differentially Private Federated Learning: A Client Level Perspective

Their papers