- Fixed a scheduler preemption issue where the victim pod was not deleted due to incorrect status patching. This issue occurred when the preemptor and victim pods had different QoS classes in their status, causing the preemption to fail entirely. ([#126644](https://github.com/kubernetes/kubernetes/pull/126644), [@Huang-Wei](https://github.com/Huang-Wei))

### Bug or Regression

- Fix a scheduler preemption issue where the victim pod was not deleted due to incorrect status patching. This issue occurred when the preemptor and victim pods had different QoS classes in their status, causing the preemption to fail entirely. ([#126695](https://github.com/kubernetes/kubernetes/pull/126695), [@Huang-Wei](https://github.com/Huang-Wei)) [SIG Scheduling]

- Fixed an issue in asynchronous preemption: Scheduler now checks if preemption is ongoing for a Pod before initiating new preemption calls. ([#134730](https://github.com/kubernetes/kubernetes/pull/134730), [@ania-borowiec](https://github.com/ania-borowiec)) [SIG Scheduling and Testing]

- Fixed a suboptimal scheduler preemption behavior where potential preemption victims were violating Pod Disruption Budgets. ([#128431](https://github.com/kubernetes/kubernetes/pull/128431), [@NoicFank](https://github.com/NoicFank)) [SIG Scheduling]

    *   Added
        [`tf.distribute.experimental.PreemptionCheckpointHandler`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/PreemptionCheckpointHandler)
        to handle worker preemption/maintenance and cluster-wise consistent
        error reporting for `tf.distribute.MultiWorkerMirroredStrategy`.
        Specifically, for the type of interruption with advance notice, it