Xueting Luo

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Xueting Luo trusts

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

1. Tong Zhang (in Artificial Intelligence)
2. Ohad Shamir (in Artificial Intelligence)
3. Corinna Cortes (in Evaluation & Benchmarks)
4. Yann LeCun (in Evaluation & Benchmarks)

Papers from Xueting Luo's perspective

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

1. Deep Learning
2. The mnist database of handwritten digits
3. Communication-Efficient Learning of Deep Networks from Decentralized Data
4. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
5. Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
6. Federated Learning with Non-IID Data
7. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
8. Scheduling Policies for Federated Learning in Wireless Networks
9. Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
10. 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies (IEEE Vehicular Technology Magazine)

Their papers

• Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends (2020) — 103 citations