I have a doubt regarding Federated learning. Suppose if we have 2 remote workers like x and y, is it like the server sends the model as a whole to both x and y at a time and both train models locally at a time and send it back to the server and the server aggregates. Or is it like first the server send the model to x and x trains and sends the updates to server and then sender send those updates to y and y trains and send the updates to server and repeating? Pls do clear my doubt for it as in openminded blog it states that they do one after another and not parallely.
Think of any scenario where data is distributed and you can’t get data to a centralised location. See if such a scenario is applicable in activity recognition
Sir thanks for your prompt reply, Can you please advise, I am getting sensor data from mobiles, in this case, which model/method is useful in Federated learning sir.
Sir thanks for your prompt reply, Can you please advise, I am getting sensor data from mobiles, in this case, which model/method is useful in Federated learning sir
Hello sir, I'm final semester engineering student. Our group is trying to do final project in federated learning so we need some consultations, resources. Can you help us out to start our project in the right direction? How can we contact you, sir?
Hello brother I am now doing a project on FL , as you have mentioned earlier about your work on FL , I am seeking some instructions and right guidance in FL , can you help me by guiding me in it?
This video raised many insights about FL and multiple future research directions.
Thank You!
thanks for giving such a simple explanation of federated learning
Thank You!!
amazing sir, thanks for explaining in a beautiful manner.
Thank You!!
Really informative video. Cleared a lot of doubts. Thanks a lot Sir
Thank You
Nice tutorial. Please come up with more tutorials on Federated Learning
Thank You. Will try
Thanks a lot Ritesh. Please make more videos.
Thank You!
I have a doubt regarding Federated learning. Suppose if we have 2 remote workers like x and y, is it like the server sends the model as a whole to both x and y at a time and both train models locally at a time and send it back to the server and the server aggregates. Or is it like first the server send the model to x and x trains and sends the updates to server and then sender send those updates to y and y trains and send the updates to server and repeating? Pls do clear my doubt for it as in openminded blog it states that they do one after another and not parallely.
The architectures I know of train parallely and update simultaneously at the server
Thanks for giving valuable information, can you please suggest to me, how this learning applicable in activity recognition
Think of any scenario where data is distributed and you can’t get data to a centralised location. See if such a scenario is applicable in activity recognition
Sir thanks for your prompt reply, Can you please advise, I am getting sensor data from mobiles, in this case, which model/method is useful in Federated learning sir.
Sir thanks for your prompt reply, Can you please advise, I am getting sensor data from mobiles, in this case, which model/method is useful in Federated learning sir
You need to a literature search to find which algorithms would be suitable for this activity
Provide me a architecture diagram for federative learning
Why should I provide it? Google and get one
Can you drop the ppt of this
No I have no plans of sharing the ppt
Hello sir, I'm final semester engineering student. Our group is trying to do final project in federated learning so we need some consultations, resources. Can you help us out to start our project in the right direction? How can we contact you, sir?
Connect with me on Topmate.io . It is a paid service
Hello brother I am now doing a project on FL , as you have mentioned earlier about your work on FL , I am seeking some instructions and right guidance in FL , can you help me by guiding me in it?