NSS’2023
Date:
This week the International Conference on Network and System Security (NSS’23) happens and we have our work on distributed deep learning in the program. It is a joint work of me, Xiangyu Su and Keisuke Tanaka. Su is the main author and has introduced the main idea.
Su noticed that it is possible to harvest of a computational power from, say, of a proof of work protocol, in order to train models for machine learning. In order to do that we had to introduce new notions like “distributed proof-of-deep-learning”.
Basically, instead of “correct hash value” as in proof-of-work, the system trains models up until a certain suitable accuracy level in the learning curve. The paper is already available here and here. Please take a look.
Me and Su verified the presentation slides last Thursday at the Covfefe and everything is set. My friend and neighbor Prof. Tomohiro Hayashi took a nice picture of us and sent me.
Unfortunately, I could not travel to UK to attend the conference this time, but Su is already there. I am looking forward for the report of the presentation from Su.
Here is the picture!
