| building_your_own_federated_learning_algorithm.ipynb | 52.3 KB | |
| composing_learning_algorithms.ipynb | 28.1 KB | |
| custom_aggregators.ipynb | 42.6 KB | |
| custom_federated_algorithm_with_tff_optimizers.ipynb | 23.6 KB | |
| custom_federated_algorithms_1.ipynb | 65.9 KB | |
| custom_federated_algorithms_2.ipynb | 53.2 KB | |
| federated_learning_for_image_classification.ipynb | 74.5 KB | |
| federated_learning_for_text_generation.ipynb | 34.1 KB | |
| federated_learning_with_differential_privacy.ipynb | 145.9 KB | |
| federated_reconstruction_for_matrix_factorization.ipynb | 197 KB | |
| federated_select.ipynb | 12.1 KB | |
| high_performance_simulation_with_kubernetes.ipynb | 18.8 KB | |
| jax_support.ipynb | 28.1 KB | |
| loading_remote_data.ipynb | 23.7 KB | |
| private_heavy_hitters.ipynb | 18.9 KB | |
| random_noise_generation.ipynb | 24.3 KB | |
| simulations.ipynb | 9.3 KB | |
| simulations_with_accelerators.ipynb | 59.7 KB | |
| sparse_federated_learning.ipynb | 53.9 KB | |
| tff_for_federated_learning_research_compression.ipynb | 27.6 KB | |
| tuning_recommended_aggregators.ipynb | 26.1 KB | |
| tutorials_overview.md | 5.9 KB | |
| working_with_client_data.ipynb | 29.2 KB | |
