Article/description federated learning

[helenabarmer]

No description provided.

[poojavinod100]

Hey Helena, I would like to take up this task. Thanks. :)

[jess-s]

I can work on this with you, Pooja. If that's okay?

[poojavinod100]

I guess both of us can do one article each. That would mean two cool articles about this topic. I think this would help us cover the concept of federated learning much more extensively, so the readers can get a comprehensive idea.

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On Mon, Aug 5, 2019 at 10:37 AM Jess ***@***.***> wrote: I can work on this with you, Pooja. If that's okay? — You are receiving this because you were assigned. Reply to this email directly, view it on GitHub <#10?email_source=notifications&email_token=AI3L3JMZOABWSP6LVD4ZDPLQC6YQBA5CNFSM4IJFGIMKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD3QWGPQ#issuecomment-518087486>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AI3L3JP3MB22TZG3KRA7EC3QC6YQBANCNFSM4IJFGIMA> .

[helenabarmer]

You can absolutely do one article each, I can assign you both and you write one and it will for sure be different angles anyway 👍

[helenabarmer]

@jess-s Let me know if you would like to be assisgned to this as well 👍

[GlowWorm95]

Hi @helenabarmer,
Can I work on this task too? :)

Ayesha Manzur

[helenabarmer]

@GlowWorm95 Yes you are welcome to write about this too 👍

[GlowWorm95]

Awesome thank you! 🙌 @poojavinod100, @jess-s would you like to discuss what aspects each of us can cover? Just wondering in case we end up covering very similar content. Or is that ok? Up to you guys

[TemitopeOladokun]

Can I work on this task?
Kindly assign me

[helenabarmer]

@TemitopeOladokun I have assigned you 👍