Questions tagged [federated-learning]
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11 questions
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Is it feasible and scalable to combine self-replicating automata (after von Neumann) with federated learning and the social web?
Von Neumann’s idea of self-replicating automata describes machines that can reproduce themselves given a blueprint and a suitable environment. I’m exploring a concept that tries to apply this idea to ...
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21views
FL has very low Accuracy, and is worse than CL training
I am working on eavesdropper detection on B5G system with Deep Learning. The training dataset contains 1200 CSI images of legitimate and malicious UEs and an .xlsx file with their positions, power, ...
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59views
PyTorch and Opacus for Differential Privacy
When testing an example code from the TensorFlow website using Jupyter Notebook, which is available at the following link: [LINK_1], I encountered an error. You can find my question about that error ...
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Federated CNN largely predicts only one (wrong) class
I have trained a CNN for the CIFAR dataset using federated averaging, adhering to this tutorial: https://www.tensorflow.org/federated/tutorials/federated_learning_for_image_classification. However, my ...
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1answer
124views
How does Knowledge Distillation help Federated Learning?
As per my understanding, typically in FL, there is a global server that interacts with various client devices. The global server and the client both possess a ML models. The client(s) update their ...
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1answer
187views
What is the difference between the definition of "accuracy" in machine learning and federated learning?
What is the difference between the definition of "accuracy" in machine learning and federated learning? In particular, how is the accuracy calculated in the following paper: Cai, Lingshuang,...
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1vote
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101views
What is dynamic data sampling in federated learning?
I am trying to learn about Federated Learning (FL), but I have a question. What is dynamic data sampling in FL? Cai, Lingshuang, et al. "Dynamic Sample Selection for Federated Learning with ...
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2votes
1answer
556views
How would the performance of federated learning compare to the performance of centralized machine learning when the data is i.i.d.?
How would the performance of federated learning (FL) compare to the performance of centralized machine learning (ML), when the data is independent and identically distributed (i.i.d.)? Moreover, what ...
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2answers
258views
What is Federated Learning?
How would you explain Federated Learning in simple layman terms for a non-STEM person? What are the main ideas behind Federated Learning?
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6votes
1answer
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How to express a fully connected neural network succintly using linear algebra?
I'm currently reading the paper Federated Learning with Matched Averaging (2020), where the authors claim: A basic fully connected (FC) NN can be formulated as: $\hat{y} = \sigma(xW_1)W_2$ [...] ...
5votes
2answers
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What is the difference between edge computing and federated learning?
I recently read about federated learning introduced by Google, but it seems to be like edge computing. What is the difference between edge computing and federated learning?
