Linking pages
- GitHub - poga/awesome-federated-learning: resources about federated learning and privacy in machine learning https://github.com/poga/awesome-federated-learning 0 comments
- Deep Learning with Label Differential Privacy – Google AI Blog https://ai.googleblog.com/2022/05/deep-learning-with-label-differential.html 0 comments
- Leveraging transfer learning for large scale differentially private image classification – Google AI Blog https://ai.googleblog.com/2023/03/leveraging-transfer-learning-for-large.html 0 comments
Linked pages
- http://archive.ics.uci.edu/ml/ 14 comments
- ImageNet http://image-net.org/index 12 comments
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- GitHub - pytorch/opacus: Training PyTorch models with differential privacy https://github.com/pytorch/opacus 1 comment
- Google AI Blog: Predicting Text Selections with Federated Learning https://ai.googleblog.com/2021/11/predicting-text-selections-with.html 0 comments
- Flexible, Scalable, Differentiable Simulation of Recommender Systems with RecSim NG – Google AI Blog https://ai.googleblog.com/2021/04/flexible-scalable-differentiable.html 0 comments
- [1802.08232] The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks https://arxiv.org/abs/1802.08232 0 comments
- MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges http://yann.lecun.com/exdb/mnist/ 0 comments
- GitHub - tensorflow/privacy: Library for training machine learning models with privacy for training data https://github.com/tensorflow/privacy 0 comments
- Self-Supervised Learning Advances Medical Image Classification – Google AI Blog https://ai.googleblog.com/2021/10/self-supervised-learning-advances.html 0 comments
- XLA: Optimizing Compiler for Machine Learning | TensorFlow https://www.tensorflow.org/xla 0 comments
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