federated

问题 I have many federated tables in my mysql database. I can see the connection string when I open the table structure in dbforge. But i am not able to find where it is stored in mysql. I checked Information_schema tables and only found the table structures without the connection string 回答1: Its either in the table defination ( SHOW CREATE TABLE {tablename} ), or the mysql.servers table ( SHOW SERVERS ). ref: how to create federated tables 来源： https://stackoverflow.com/questions/55968975/where-is

问题 I have selected this dataset: https://www.kaggle.com/karangadiya/fifa19 Now, I would like to convert this CSV file into the federated dataset to fit in the model. Tensorflow provided tutorials on federated learning where they have used a pre-defined dataset. However, my question is How can I use this particular dataset for a federated learning scenario? 回答1: I'll use a different CSV dataset, but this should still address the core of this question, which is how to create a federated dataset

问题 I have selected this dataset: https://www.kaggle.com/karangadiya/fifa19 Now, I would like to convert this CSV file into the federated dataset to fit in the model. Tensorflow provided tutorials on federated learning where they have used a pre-defined dataset. However, my question is How can I use this particular dataset for a federated learning scenario? 回答1: I'll use a different CSV dataset, but this should still address the core of this question, which is how to create a federated dataset

问题 here is the code of my federated learning test from __future__ import absolute_import, division, print_function import os import collections import warnings from six.moves import range import numpy as np import six import tensorflow as tf import tensorflow_federated as tff from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau, ModelCheckpoint import PIL #pretrain train_datagen1 = tf.keras.preprocessing.image.ImageDataGenerator(vertical_flip=True) training_set1= train

问题 (I have posted the question on https://github.com/tensorflow/federated/issues/793 and maybe also here!) I have customized my own data and model to federated interfaces and the training converged. But I am confused about an issue that in an images classification task, the whole dataset is extreme large and it can't be stored in a single federated_train_data nor be imported to memory for one time. So I need to load the dataset from the hard disk in batches to memory real-timely and use Keras

问题 I tried to customize the model in "Image classification" tutorial in Tensorflow Federated. (It originally used a sequential model) I use Keras ResNet50 but when it began to train, there is always an error "Incompatible shapes" Here are my codes: NUM_CLIENTS = 4 NUM_EPOCHS = 10 BATCH_SIZE = 2 SHUFFLE_BUFFER = 5 def create_compiled_keras_model(): model = tf.keras.applications.resnet.ResNet50(include_top=False, weights='imagenet', input_tensor=tf.keras.layers.Input(shape=(100, 300, 3)), pooling

问题 i'm implementing code with TFF, and I have image dataset of skin cancer. i must convert my dataset into federated data So can anyone help me I use tff.simulation.clientData or tff.simulation.clientData.create_tf_dataset_for_client() or tff.simulation.HDF5ClientData.create_tf_dataset_for_client(client_id) or tf.data.Dataset.from_tensor_slices() 来源： https://stackoverflow.com/questions/59734700/convert-my-own-image-dataset-into-federated-data

问题 Is it possible to access a Postgres database from MySQL, so that I could run a single query that does joins across tables in both databases? For example: SELECT * FROM postgres.db1.table1 as t1, mysql.db2,table2 WHERE t1.id=t2.id; 回答1: According to the MySQL CREATE SERVER documentation: The wrapper_name should be mysql , and may be quoted with single quotation marks. Other values for wrapper_name are not currently supported . So the answer is no , you cannot do that at the moment, but you can

问题 G'day Everyone. I have a Web application running with AWS S3, RDS, Lambda and API Gateway using an AWS Cognito user pool as login service. This is working good so far. But now i would like to integrate it with Azure ID. Does someone has a good documentation about it. I can only find documentation for the other way round or for integration Azure AD into the AWS Console. The reason could be that this feature just went from beta to production a few weeks ago. 回答1: The steps are quite long, but I

问题 I am trying to display search results in the windows 7 explorer thru the federated search feature, from a local .net assembly. (not from a web service) I have found various tutorials, but all of them are for web services. Earlier I thought that it was not possible but then, I came across the StickyNotes federated search connector. The contents of the .OSDX file are: <?xml version="1.0" encoding="UTF-8"?> <searchConnectorDescription xmlns="http://schemas.microsoft.com/windows/2009