Richard Nock

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. · Foundations and Trends® in Machine Learning · 2020 · 4.2K citations · Full text

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon et al. · 2017 · 1.4K citations

Convolutional Neural Network, Engineering, Machine Learning +18

Statistical region merging

Richard Nock, Frank Nielsen · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2004 · 803 citations

Scene Analysis, Engineering, Fast Segmentation +20

Adaptive Subspaces for Few-Shot Learning

Christian Simon, Piotr Koniusz, Richard Nock et al. · 2020 · 445 citations

Artificial Intelligence, Few-shot Learning, Multiple Instance Learning +17

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Stephen Hardy, Wilko Henecka, Hamish Ivey-Law et al. · arXiv (Cornell University) · 2017 · 429 citations · Full text

Privacy Protection, Engineering, Machine Learning +19