diff --git a/spark/src/main/scala/org/apache/spark/Plugins.scala b/spark/src/main/scala/org/apache/spark/Plugins.scala
index d040208596..7891735b86 100644
--- a/spark/src/main/scala/org/apache/spark/Plugins.scala
+++ b/spark/src/main/scala/org/apache/spark/Plugins.scala
@@ -22,9 +22,11 @@ package org.apache.spark
 import java.{util => ju}
 import java.util.Collections
 
+import scala.util.Try
+
 import org.apache.spark.api.plugin.{DriverPlugin, ExecutorPlugin, PluginContext, SparkPlugin}
 import org.apache.spark.internal.Logging
-import org.apache.spark.internal.config.EXECUTOR_MEMORY_OVERHEAD
+import org.apache.spark.internal.config.{EXECUTOR_MEMORY_OVERHEAD, EXECUTOR_MEMORY_OVERHEAD_FACTOR}
 import org.apache.spark.sql.internal.StaticSQLConf
 
 import org.apache.comet.{COMET_VERSION, CometSparkSessionExtensions, NativeBase}
@@ -167,16 +169,39 @@ object CometDriverPlugin extends Logging {
     val cometExecEnabled = getBooleanConf(conf, CometConf.COMET_EXEC_ENABLED)
     val cometShuffleEnabled = getBooleanConf(conf, CometConf.COMET_SHUFFLE_ENABLED)
     val cometActive = cometEnabled && (cometExecEnabled || cometShuffleEnabled)
+    // Local mode, local-cluster included, has no executor container to size
+    val localMode = conf.get("spark.master", "").startsWith("local")
 
-    if (cometActive && !conf.contains(EXECUTOR_MEMORY_OVERHEAD.key)) {
+    if (cometActive && !localMode && !isExecutorMemoryOverheadSet(conf)) {
       logWarning(
-        s"${EXECUTOR_MEMORY_OVERHEAD.key} is not set. Comet allocates outside the JVM heap, and " +
-          "the part of that which no memory pool tracks is not covered by " +
-          "spark.executor.memory or spark.memory.offHeap.size, so Spark's default overhead can " +
-          "leave the executor short and the cluster manager may kill it. Set " +
-          s"${EXECUTOR_MEMORY_OVERHEAD.key} before creating the SparkContext; it cannot be set " +
-          s"later. ${CometConf.TUNING_GUIDE}.")
+        s"Neither ${EXECUTOR_MEMORY_OVERHEAD.key} nor ${EXECUTOR_MEMORY_OVERHEAD_FACTOR.key} is " +
+          "set. Comet allocates outside the JVM heap, and the part of that which no memory pool " +
+          "tracks is not covered by spark.executor.memory or spark.memory.offHeap.size, so " +
+          "Spark's default overhead can leave the executor short and the cluster manager may " +
+          "kill it. Set one of them before creating the SparkContext; neither can be set later. " +
+          s"${CometConf.TUNING_GUIDE}.")
+    }
+  }
+
+  // Whether the application sized the executor memory overhead itself, as an amount or as a
+  // factor of spark.executor.memory, rather than leaving it at Spark's default.
+  private def isExecutorMemoryOverheadSet(conf: SparkConf): Boolean =
+    conf.contains(EXECUTOR_MEMORY_OVERHEAD.key) ||
+      conf.contains(EXECUTOR_MEMORY_OVERHEAD_FACTOR.key) ||
+      isKubernetesMemoryOverheadFactorSet(conf)
+
+  // Kubernetes falls back to spark.kubernetes.memoryOverheadFactor when
+  // spark.executor.memoryOverheadFactor is unset. In cluster mode spark-submit sets it for the
+  // driver even when the application did not, to 0.4 for PySpark and SparkR applications and 0.1
+  // for the rest, so only a different value shows that the application set it.
+  private def isKubernetesMemoryOverheadFactorSet(conf: SparkConf): Boolean = {
+    val submitDefault = conf.get("spark.kubernetes.resource.type", "java") match {
+      case "python" | "r" => 0.4
+      case _ => 0.1
     }
+    conf
+      .getOption("spark.kubernetes.memoryOverheadFactor")
+      .exists(factor => !Try(factor.toDouble).toOption.contains(submitDefault))
   }
 
   // spark.comet.exec.memoryPool.fraction was documented as holding back part of the off-heap pool
diff --git a/spark/src/test/scala/org/apache/spark/CometPluginsSuite.scala b/spark/src/test/scala/org/apache/spark/CometPluginsSuite.scala
index 4673740daf..e65ae80ccd 100644
--- a/spark/src/test/scala/org/apache/spark/CometPluginsSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/CometPluginsSuite.scala
@@ -166,7 +166,8 @@ class CometPluginsDefaultSuite extends CometTestBase {
 
 class CometPluginsMemoryOverheadWarningSuite extends CometTestBase {
 
-  private val warning = "spark.executor.memoryOverhead is not set"
+  private val warning =
+    "Neither spark.executor.memoryOverhead nor spark.executor.memoryOverheadFactor is set"
 
   private def warningsFor(conf: SparkConf): Seq[String] = {
     // Logging derives the logger name by stripping the object's trailing '$'
@@ -178,26 +179,70 @@ class CometPluginsMemoryOverheadWarningSuite extends CometTestBase {
     appender.loggingEvents.map(_.getMessage.getFormattedMessage).toSeq
   }
 
+  private val kubernetesMaster = "k8s://https://kubernetes.default.svc:443"
+
+  private def cometConf(master: String = "yarn"): SparkConf =
+    new SparkConf()
+      .set("spark.master", master)
+      .set("spark.comet.enabled", "true")
+      .set("spark.comet.exec.enabled", "true")
+
   test("warns when executor memory overhead is unset and Comet is active") {
-    val conf = new SparkConf()
-    conf.set("spark.comet.enabled", "true")
-    conf.set("spark.comet.exec.enabled", "true")
-    assert(warningsFor(conf).exists(_.contains(warning)))
+    assert(warningsFor(cometConf()).exists(_.contains(warning)))
   }
 
   test("does not warn when executor memory overhead is set") {
-    val conf = new SparkConf()
-    conf.set("spark.comet.enabled", "true")
-    conf.set("spark.comet.exec.enabled", "true")
-    conf.set("spark.executor.memoryOverhead", "2g")
+    val conf = cometConf().set("spark.executor.memoryOverhead", "2g")
+    assert(!warningsFor(conf).exists(_.contains(warning)))
+  }
+
+  test("does not warn when the executor memory overhead factor is set") {
+    val conf = cometConf().set("spark.executor.memoryOverheadFactor", "0.2")
+    assert(!warningsFor(conf).exists(_.contains(warning)))
+  }
+
+  test("does not warn when the Kubernetes memory overhead factor is set") {
+    // A factor other than the one spark-submit would have passed on, whatever the application type
+    Seq(
+      Map("spark.kubernetes.memoryOverheadFactor" -> "0.3"),
+      Map(
+        "spark.kubernetes.resource.type" -> "java",
+        "spark.kubernetes.memoryOverheadFactor" -> "0.4"),
+      Map(
+        "spark.kubernetes.resource.type" -> "python",
+        "spark.kubernetes.memoryOverheadFactor" -> "0.5")).foreach { settings =>
+      val conf = cometConf(kubernetesMaster).setAll(settings)
+      assert(!warningsFor(conf).exists(_.contains(warning)), settings)
+    }
+  }
+
+  test("warns on Kubernetes when the memory overhead factor is the one spark-submit passed on") {
+    // In cluster mode spark-submit sets spark.kubernetes.memoryOverheadFactor for the driver even
+    // when the application did not: 0.4 for PySpark and SparkR applications, 0.1 for the rest
+    Seq("java" -> "0.1", "python" -> "0.4", "r" -> "0.4").foreach { case (resourceType, factor) =>
+      val conf = cometConf(kubernetesMaster)
+        .set("spark.kubernetes.resource.type", resourceType)
+        .set("spark.kubernetes.memoryOverheadFactor", factor)
+      assert(warningsFor(conf).exists(_.contains(warning)), resourceType)
+    }
+  }
+
+  test("does not fail on a Kubernetes memory overhead factor that does not parse") {
+    // Spark rejects the value itself when it sizes the executor pods
+    val conf = cometConf(kubernetesMaster).set("spark.kubernetes.memoryOverheadFactor", "lots")
     assert(!warningsFor(conf).exists(_.contains(warning)))
   }
 
+  test("does not warn in local mode") {
+    Seq("local", "local[4]", "local-cluster[2,1,1024]").foreach { master =>
+      assert(!warningsFor(cometConf(master)).exists(_.contains(warning)), master)
+    }
+  }
+
   test("does not warn when Comet is not executing anything") {
-    val conf = new SparkConf()
-    conf.set("spark.comet.enabled", "true")
-    conf.set("spark.comet.exec.enabled", "false")
-    conf.set("spark.comet.shuffle.enabled", "false")
+    val conf = cometConf()
+      .set("spark.comet.exec.enabled", "false")
+      .set("spark.comet.shuffle.enabled", "false")
     assert(!warningsFor(conf).exists(_.contains(warning)))
   }
 }