OSPP: Development of Federated Incremental Learning for Label Scarcity: Base on KubeEdge-Ianvs

[Yoda-wu]

What type of PR is this?

/kind feature

What this PR does / why we need it:

This PR add two main feature:

• federated learning paradigm
• federated class incremental learning paradigm

Besides this PR also add the example of these two paradigm.

Which issue(s) this PR fixes: related issue: https://github.com/kubeedge/ianvs/issues/97

Fixes #

[Yoda-wu]

There are three CI issues that remain to be resolved, mainly for Pylint, see https://github.com/kubeedge/ianvs/actions/runs/11268242806

Thanks for comment!, but i think the linked action is not my pr's action. I have some question about Pylint, In Pylint(3.9) it got error:

Run pylint '/home/runner/work/ianvs/ianvs/core'
************* Module core.testenvmanager.dataset.dataset
core/testenvmanager/dataset/dataset.py:124:4: R091[7](https://github.com/kubeedge/ianvs/actions/runs/11320404587/job/31477907116#step:5:8): Too many positional arguments (8/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:237:4: R0917: Too many positional arguments (6/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:244:4: R0[9](https://github.com/kubeedge/ianvs/actions/runs/11320404587/job/31477907116#step:5:10)17: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:291:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:349:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:422:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:492:4: R0917: Too many positional arguments (6/5) (too-many-positional-arguments)
************* Module core.testcasecontroller.algorithm.paradigm.singletask_learning.singletask_learning_active_boost
core/testcasecontroller/algorithm/paradigm/singletask_learning/singletask_learning_active_boost.py:66:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)

which is not my pr's feature. I try to add disabel too-many-positional-arguments and it turn outs that Pylint(3.7,3.8) can't recognize this argument.

Run pylint '/home/runner/work/ianvs/ianvs/core'
************* Module core.testenvmanager.dataset.dataset
core/testenvmanager/dataset/dataset.py:119:0: W0012: Unknown option value for 'disable', expected a valid pylint message and got 'too-many-positional-arguments' (unknown-option-value)
core/testenvmanager/dataset/dataset.py:20[7](https://github.com/kubeedge/ianvs/actions/runs/11137579503/job/31477583235?pr=143#step:5:8):0: W0012: Unknown option value for 'disable', expected a valid pylint message and got 'too-many-positional-arguments' (unknown-option-value)
core/testenvmanager/dataset/dataset.py:215:0: W0012: Unknown option value for 'disable', expected a valid pylint message and got 'too-many-positional-arguments' (unknown-option-value)
core/testenvmanager/dataset/dataset.py:249:0: W0012: Unknown option value for 'disable', expected a valid pylint message and got 'too-many-positional-arguments' (unknown-option-value)
core/testenvmanager/dataset/dataset.py:2[8](https://github.com/kubeedge/ianvs/actions/runs/11137579503/job/31477583235?pr=143#step:5:9)8:0: W0012: Unknown option value for 'disable', expected a valid pylint message and got 'too-many-positional-arguments' (unknown-option-value)
core/testenvmanager/dataset/dataset.py:334:0: W0012: Unknown option value for 'disable', expected a valid pylint message and got 'too-many-positional-arguments' (unknown-option-value)

[kubeedge-bot]

@chenhaorui0768: changing LGTM is restricted to collaborators

In response to [this](https://github.com/kubeedge/ianvs/pull/143#pullrequestreview-2384788046): > Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.

[MooreZheng]

/lgtm

[MooreZheng]

@hsj576 might also want to have a look at this project

[Yoda-wu]

The EGG-INFO file should not be uploaded to the github repository.

Sorry about that， i remove it right now

[chenhaorui0768]

/lgtm

[kubeedge-bot]

@chenhaorui0768: changing LGTM is restricted to collaborators

In response to [this](https://github.com/kubeedge/ianvs/pull/143#issuecomment-2440419334): >/lgtm Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.

[Yoda-wu]

This pull request contains 8 commits, which might make maintenance difficult, considering the number of contributors, pull requests, and their commits in KubeEdge Ianvs recently. In the final stage, @Yoda-wu can squash the commits into one using rebase techniques.

thank you for the advice! i will squash the commits if this pr have nothing to change. Looking forward to more reviews from @MooreZheng @chenhaorui0768 @hsj576. Due to the deadline of OSPP, please feel free to comment so i can fix it asap~

[hsj576]

/lgtm

[MooreZheng]

/lgtm

[MooreZheng]

/approve

[kubeedge-bot]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: MooreZheng

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files: - ~~[OWNERS](https://github.com/kubeedge/ianvs/blob/main/OWNERS)~~ [MooreZheng] Approvers can indicate their approval by writing `/approve` in a comment Approvers can cancel approval by writing `/approve cancel` in a comment