1. CS 860 – Algorithms for Private Data Analysis by Professor Gautam Kamath from University of Waterloo’s Cheriton School of Computer Science. http://www.gautamkamath.com/CS860-fa2020.html
2. Graph Neural Networks by Professor Alejandro Ribeiro from University of Pennsylvania https://alelab.seas.upenn.edu/
3. Machine learning for communication systems by Professor Harpreet S. Dhillon from Virginia Tech https://www.dhillon.ece.vt.edu/
Very nice idea. It can be seen that the student is very excellent. Hope he/she can contribute as much as he can to the development of this project next semester!
The project has now implemented and qualitatively compared the performance of FedAvg, FedSGD and FedProx, next we would embed differential privacy into the algorithm, and continue to implement the GNN based resource allocation algorithms for wireless communication
Interesting meterials to follow:
1. CS 860 – Algorithms for Private Data Analysis by Professor Gautam Kamath from University of Waterloo’s Cheriton School of Computer Science. http://www.gautamkamath.com/CS860-fa2020.html
2. Graph Neural Networks by Professor Alejandro Ribeiro from University of Pennsylvania https://alelab.seas.upenn.edu/
3. Machine learning for communication systems by Professor Harpreet S. Dhillon from Virginia Tech https://www.dhillon.ece.vt.edu/
Very nice idea. It can be seen that the student is very excellent. Hope he/she can contribute as much as he can to the development of this project next semester!
Thanks Yuxiang for the compliments!
The project has now implemented and qualitatively compared the performance of FedAvg, FedSGD and FedProx, next we would embed differential privacy into the algorithm, and continue to implement the GNN based resource allocation algorithms for wireless communication