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EntGAN: A Distributed GAN Framework Baed on Multi-task

Open nailtu30 opened this issue 2 years ago • 5 comments

/kind feature Fixes #336

nailtu30 avatar Jul 28 '22 10:07 nailtu30

Welcome @nailtu30! It looks like this is your first PR to kubeedge/sedna 🎉

kubeedge-bot avatar Jul 28 '22 10:07 kubeedge-bot

/ping @MooreZheng

JoeyHwong-gk avatar Jul 30 '22 01:07 JoeyHwong-gk

hi @nailtu30 ,you should remove the unnecessary system files, such as .DS_Store

JoeyHwong-gk avatar Jul 30 '22 01:07 JoeyHwong-gk

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kubeedge-bot avatar Aug 02 '22 02:08 kubeedge-bot

The current proposal of GAN itself is fine as a algorithm, e.g., for lifelong learning. But a distributed GAN as a standalone scheme for Sedna like edge-cloud joint inference requires notrivial workloads on the module design.

My suggestion is to make the proposal as two phases. Phase One focuses on pure algorithm GAN on lifelong learning using Ianvs. Phase Two focuses on intergating GAN into Sedna.

MooreZheng avatar Aug 09 '22 07:08 MooreZheng

Lack integration solution to Ianvs. In my opinion, the proposed GAN framework should be embeded into the training phase of Ianvs.

luosiqi avatar Oct 18 '22 03:10 luosiqi

The proposal is overall good but

  1. need to be polished to strengthen the motivation
  2. make the scenario clear instead of a framework without any supporting dataset examples

MooreZheng avatar Oct 25 '22 02:10 MooreZheng