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wooohoo! |
nerdai
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nerdai
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This is really awesome! I left only a few minor comments/edits, but outside from those this is ready to go!
Perhaps in a future PR, we could summarize these methods in a table (pros/cons, when to use, memory and time complexities).
| Concept drift is characterized by a change in \\(\\mathbb{P}(Y \vert X)\\) provided a | ||
| fixed \\(\\mathbb{P}(Y)\\). Essentially, this drift encapsulates a shift in the | ||
| predictive relationship between the features, \\(X\\), and the labels, \\(Y\\). | ||
| As an illustrative example, consider training a purchase conversion model |
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I think we could use Trump tarrifs as part of this example, but maybe we shouldn't be political.
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I may or may not have been thinking of this when I wrote the example, but chose to be more vague 😂
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| A number of experiments show that the proposed FedOpt family of algorithms | ||
| can outperform FedAvg, especially in heterogeneous settings. Moreover, these | ||
| algorithms, in the experiments of the paper, outperform SCAFFOLD,[^6] a |
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should we have a pocket ref for SCAFFOLD in this section as well, eventually?
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Yes, probably. It'll be a bit more involved, just because the method is more complicated, but I have all of the figures necessary to do one. If you want to throw it on the backlog, I can tackle it at the same time as I work on pFL methods.
…o switching out fedsgd algorithm to not have Algorithm 2
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@nerdai: Just want to highlight that I also updated the algorithm rendering for FedSGD, which will require a new cloud upload. The reason was that the algorithm was number 2 even though there was no preceding algorithm in the chapter, which was bugging me 😂 |
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[BOOK]
FL
Type of Change
Related Issue
Fixes #
Book
Description
Adding in 4 new pocket references to flesh out the Robust Global FL chapter. These include:
Checklist
{{#author}}or{{#authors}})mdbook watch books/<book-name> --openAdditional Context