llhuii

But the federated-learning definition is aggregationWorker/trainingWorkers indeed https://github.com/kubeedge/sedna/blob/main/pkg/apis/sedna/v1alpha1/federatedlearningjob_types.go#L41

The doc https://kubeedge.io/en/docs/advanced/debug/ seems complex and something wrong/obsolete. Wait for clearer doc

试试调整一下命令： ``` $ curl https://raw.githubusercontent.com/kubeedge/sedna/master/scripts/installation/all-in-one.sh | sudo KUBEEDGE_VERSION=v1.8.0 NUM_EDGE_NODES=2 bash - ``` 另外可以看看gm的日志，为啥没有ready？

mark the reference https://github.com/kubeedge/kubeedge/issues/944 here

> * [ ] make the python lib interface more clearer > * [ ] model serving should support hot loading & multiple models > * [ ] manually copying...

@JoeyHwong-gk

@JasonNing96 try newer version: v0.4.2

I means try example version `v0.4.2`. I just tried `kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.4.0` is OK, but the image `kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.4.2@sha256:47fd842ce9947` reported the following error: ```text [INFO][08:27:05]: Client: simple [INFO][08:27:05]: Trainer: basic [INFO][08:27:05]: Algorithm: fedavg...

> by the way I'm change the version of V 0.3.0 because my docker images build V0.4.0: > >  I think you don't need to build the example image...

> I means try example version `v0.4.2`. > > I just tried `kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.4.0` is OK, but the image `kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.4.2@sha256:47fd842ce9947` reported the following error: > > ``` > [INFO][08:27:05]: Client: simple...