Questions tagged [federated-learning]
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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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0answers
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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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Is there any way to determine/estimate the number of rounds for the whole Federated Learning process?
In Federated Learning (FL) the process ends until the model converges or reached certain accuracy.
My question: Is there any way to determine/estimate the number of rounds for the whole process?
2
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1answer
57 views
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 ...
3
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1answer
79 views
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?
6
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1answer
383 views
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: $\hat{y} = \sigma(xW_1)W_2$ [...]
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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?
