Daniel J. Beutel

Thanks for sharing this, excited to see progress here. As one of the authors of the Flower federated learning framework, I can say that on-device training support is one of...

Thanks for the report @faustinaSelvadeepa , how long does the channel stay open?

@faustinaSelvadeepa / @sobolak could you share the logs for both the server and the two clients please? The server log looks perfectly normal. Can you perhaps provide a minimal reproducible...

Thanks for the the detailed report @gubertoli, does it change anything if you do a `pip install -U flwr[simulation]` (note the missing `"`)? The Flower tutorial installs 1.0 on Google...

@shg550 @gubertoli could your try this again with Flower 1.1 (which was released two days ago)? The `ray` dependency has been updated, so it might work better with more recent...

Thanks for reaching out @kareemgamalmahmoud. Did you build the Colab version using the Edge Client Engine (`start_server` & `start_client`) or the Virtual Client Engine (`start_simulation`)?

@edogab33 sounds great, yes, we'd be interested in adding them! I'd recomend creating three separate PR's, this will make it easier to review and merge them one by one.

Reopening, `FedMedian` has been merged, but Krum and MultiKrum are still outstanding. We could also created separate issues for them, wdyt @edogab33 ?

Thanks for reaching out @AlesaRLife. Could you give a bit more background, what would be the use case for this? The server cannot wait for all clients since the server...

@AlesaRLife could you perhaps do this using a custom strategy? Make the strategy wait for all the clients, collect what you need using `get_properties`, then start the actual training?