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Questions tagged [federated-learning]

167 questions
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ModuleNotFoundError: No module named 'syft.frameworks'

I am trying to work on this example of Federated Learning. https://towardsdatascience.com/federated-learning-3097547f8ca3 I have installed the PySyft package but I am getting this error. ModuleNotFoundError Traceback (most…
Mina
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Intel OpenFL - RuntimeError: mat1 and mat2 shapes cannot be multiplied (128x512 and 2048x4096)

I am trying to run my notebook (that works fine on google colab or other similar platforms) on Intel OpenFL, the new framework for FL of Intel. I am using MNIST with this transformation: trf = transforms.Compose( [transforms.Resize(32), …
CasellaJr
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Does TFF support deployment across different devices and clouds?

I would like to deploy TFF in a way, where I have one central (aggregation) server on a VM in a cloud and two different VMs with nodes, that train the model. Is this possible with TFF? Does it have the protocols necessary to communicate over the…
Ladi
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What is the best way to create a custom federated image dataset for TFF in SQLite format?

I went through the source for the CIFAR-100 inbuilt dataset and decided to create a compatible version for the FairFace dataset in order to be able to leverage the other built-in functions without many modifications everywhere once I convert…
Gaurav Goswami
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Issues in setting up the environment for TensorFlow Federated on Colab

I am new to Federated Learning, and I am trying to get started with TensorFlow Federated. While working on the tutorial "Federated Learning for Image Classification" on Colab, I tried to install TensorFlow Federated, but was met with these…
Mohd Toaha Umar
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PySyft AttributeError: 'DataFrame' object has no attribute 'federate' while reading data from csv

I am trying to implement that pysyft code for federated learing for my csv data . The tutorial i am following is this https://github.com/bt-s/Split-Learning-and-Federated-Learning/blob/master/src/federated_learning.py they used torch library FMNIST…
user12
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Federated Learning for Image Classification in colab

I'm new in Federated learning, I tried to implement the code of FL for Image Classification, but I can't understand this line I am confused in some detail parts. I am trying to build a sequential model in Keras, but when I train the model, I am…
amir elmjamili
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Got an error (element 0 of tensors does not require grad and does not have a grad_fn) while performing learning using pytorch with diabates data set

I am performing Federated learning using pysyft and pytorch. I am using a diabetes dataset. I got this error while training(element 0 of tensors does not require grad and does not have a grad_fn). I am attaching the screen shots of my error and…
Harikrishnan K H
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The parameters of a CNN model is returning None

i create a CNN model like this global_model = CNNMnist(args=args). Then i send it to device, set it to train. Then i train my local models, collect the local_weights and the average them to get updated global_model. Now i am trying to get the items…
Samiur Rahman
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How to print state of model in Federated learning

I would like to print (before training) the state of model : with print(state['model']), I found this error : TypeError: 'ServerState' object is not subscriptable
seni
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loss increase when updating "State"

I would like to update state, So here is what i wrote: def create_keras_model(): ... return model iterative_process = tff.learning.build_federated_averaging_process(..) My problem is loss increase contrary to the accuracy which makes a small…
seni
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No module named 'tensorflow_fedarated'

I'm on windows but even in google Collab I cant import it. and I do have proper internet. from tensorflow_federated import python as tff
aqtar parveez
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Federated reinforcement learning

I am implementing federated deep Q-learning by PyTorch, using multiple agents, each running DQN. My problem is that when I use multiple replay buffers for agents, each appending experiences at the corresponding agent, two elements of experiences in…
Star
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Using federated learning for object detection

I plan to use federated learning for an object detection algorithm I already developed for detecting weeds. As I research, I see federated tensorflow examples on Image classification. Like the following…
hossein
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Keras load model after saving the model, why start training from the beginning？

Epoch 1/8 222/222 [==============================] - 18s 67ms/step - loss: 1.4523 - accuracy: 0.9709 - val_loss: 1.3310 - val_accuracy: 0.9865 Epoch 2/8 222/222 [==============================] - 14s 63ms/step - loss: 1.3345 - accuracy: 0.9747 -…
Jovan Mei
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