diff --git a/src/common/quantile.cc b/src/common/quantile.cc
index 602073428eb1..901b1f50de21 100644
--- a/src/common/quantile.cc
+++ b/src/common/quantile.cc
@@ -496,50 +496,6 @@ void SketchContainerImpl<WQSketch>::MakeCuts(Context const *ctx, MetaInfo const
     p_cuts->cut_ptrs_.HostVector().push_back(cut_size);
   }
 
-
-/*
-    // save the cut values and cut pointers to files for examination
-    if (collective::GetRank() == 0) {
-        //print the entries to file for debug
-        std::ofstream file;
-        file.open("cut_info_0.txt", std::ios_base::app);
-        file << " Total cut ptr count: " << p_cuts->cut_ptrs_.HostVector().size() << std::endl;
-        file << " Total cut count: " << p_cuts->cut_values_.HostVector().size() << std::endl;
-        //iterate through the cut pointers
-        for (auto i = 0; i < p_cuts->cut_ptrs_.HostVector().size(); i++) {
-            file << "cut_ptr " << i << ": " << p_cuts->cut_ptrs_.HostVector()[i] << std::endl;
-        }
-        //iterate through the cut values
-        for (auto i = 0; i < p_cuts->cut_values_.HostVector().size(); i++) {
-            file << "cut_value " << i << ": " << p_cuts->cut_values_.HostVector()[i] << std::endl;
-        }
-        file.close();
-    }
-    if (collective::GetRank() == 1) {
-        //print the entries to file for debug
-        std::ofstream file;
-        file.open("cut_info_1.txt", std::ios_base::app);
-        file << " Total cut ptr count: " << p_cuts->cut_ptrs_.HostVector().size() << std::endl;
-        file << " Total cut count: " << p_cuts->cut_values_.HostVector().size() << std::endl;
-        //iterate through the cut pointers
-        for (auto i = 0; i < p_cuts->cut_ptrs_.HostVector().size(); i++) {
-            file << "cut_ptr " << i << ": " << p_cuts->cut_ptrs_.HostVector()[i] << std::endl;
-        }
-        //iterate through the cut values
-        for (auto i = 0; i < p_cuts->cut_values_.HostVector().size(); i++) {
-            file << "cut_value " << i << ": " << p_cuts->cut_values_.HostVector()[i] << std::endl;
-        }
-        file.close();
-    }
-
-    if (info.IsVerticalFederated() && info.IsSecure()) {
-        // cut values need to be synced across all workers via Allreduce
-        auto cut_val = p_cuts->cut_values_.HostVector().data();
-        std::size_t n = p_cuts->cut_values_.HostVector().size();
-        collective::Allreduce<collective::Operation::kSum>(cut_val, n);
-    }
-    */
-
   p_cuts->SetCategorical(this->has_categorical_, max_cat);
   monitor_.Stop(__func__);
 }
diff --git a/src/learner.cc b/src/learner.cc
index d3b3a9bfc607..c2ad13d4e5ab 100644
--- a/src/learner.cc
+++ b/src/learner.cc
@@ -1286,44 +1286,6 @@ class LearnerImpl : public LearnerIO {
     GetGradient(predt.predictions, train->Info(), iter, &gpair_);
     monitor_.Stop("GetGradient");
 
-
-/*
-      if(collective::GetRank()==0){
-          //print the total number of samples
-            std::cout << "Total number of samples: " << train->Info().labels.Size() << std::endl;
-          auto i = 0;
-          // print the first five predictions
-          for (auto p : predt.predictions.HostVector()) {
-              std::cout << "Prediction " << i << ": " << p << std::endl;
-              i++;
-              if (i == 5) {
-                  break;
-              }
-          }
-
-    // print the first five labels
-    std::cout << "Labels: " << std::endl;
-     i = 0;
-    while ( i<5 ) {
-      std::cout << "Label " << i << ": " << train->Info().labels.HostView()(i) << std::endl;
-      i++;
-    }
-
-    // print the first five gradients
-    std::cout << "Gradients: " << std::endl;
-    i = 0;
-    for (auto p : gpair_.Data()->HostVector()) {
-      std::cout << "Gradient " << i << ": " << p.GetGrad() << std::endl;
-      i++;
-      if (i == 5) {
-        break;
-      }
-    }
-    }
-*/
-
-
-
     TrainingObserver::Instance().Observe(*gpair_.Data(), "Gradients");
 
     gbm_->DoBoost(train.get(), &gpair_, &predt, obj_.get());