Shen Yan
Artificial Intelligence · with Avestimehr · 2021
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
- Artificial Intelligence — 20 citations into it
Whom Shen Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shen Yan's perspective
Ordered by how strongly the researchers Shen Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- Data preprocessing techniques for classification without discrimination
- Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning
- Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
- Retiring Adult: New Datasets for Fair Machine Learning
- FedML: A Research Library and Benchmark for Federated Machine Learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
Their papers
- FairFed: Enabling Group Fairness in Federated Learning (2021) — 324 citations