Cloud-edge collaborative speculative decoding for LLM based on KubeEdge-Ianvs

[FuryMartin]

What type of PR is this?
/kind design

What this PR does / why we need it:

Proposal for LFX Project CNCF - KubeEdge: Cloud-Edge Speculative Decoding for LLM via KubeEdge-Ianvs

Which issue(s) this PR fixes:

Fixes #126

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[MooreZheng]

Got to fix the below CI errors for Pylint (3.9) before further actions, see CI logs

Run pylint '/home/runner/work/ianvs/ianvs/core'
core/testenvmanager/dataset/dataset.py:119:4: R0917: Too many positional arguments (8/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:206:4: R0917: Too many positional arguments (6/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:213:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:246:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:285:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:329:4: R0917: Too many positional arguments (7/5) (too-many-positional-arguments)
core/testenvmanager/dataset/dataset.py:368:4: 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)

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Your code has been rated at 9.95/10

Error: Process completed with exit code 8.