| building_your_own_federated_learning_algorithm.ipynb | 54.5 KB | |
| composing_learning_algorithms.ipynb | 29.7 KB | |
| custom_aggregators.ipynb | 45.1 KB | |
| custom_federated_algorithm_with_tff_optimizers.ipynb | 24.1 KB | |
| custom_federated_algorithms_1.ipynb | 71.1 KB | |
| custom_federated_algorithms_2.ipynb | 55.8 KB | |
| federated_learning_for_image_classification.ipynb | 77.4 KB | |
| federated_learning_for_text_generation.ipynb | 35.8 KB | |
| federated_learning_with_differential_privacy.ipynb | 147.1 KB | |
| federated_reconstruction_for_matrix_factorization.ipynb | 198.9 KB | |
| federated_select.ipynb | 12.4 KB | |
| high_performance_simulation_with_kubernetes.ipynb | 10.9 KB | |
| private_heavy_hitters.ipynb | 19.8 KB | |
| random_noise_generation.ipynb | 25.1 KB | |
| simulations.ipynb | 9.4 KB | |
| simulations_with_accelerators.ipynb | 60 KB | |
| sparse_federated_learning.ipynb | 55.5 KB | |
| tff_for_federated_learning_research_compression.ipynb | 28.5 KB | |
| tuning_recommended_aggregators.ipynb | 27.7 KB | |
| tutorials_overview.md | 6.2 KB | |
| working_with_client_data.ipynb | 30.1 KB | |
