diff --git a/cpp/daal/include/algorithms/covariance/covariance_distributed.h b/cpp/daal/include/algorithms/covariance/covariance_distributed.h
index f3cfad98338..718b7cac6bc 100644
--- a/cpp/daal/include/algorithms/covariance/covariance_distributed.h
+++ b/cpp/daal/include/algorithms/covariance/covariance_distributed.h
@@ -564,7 +564,7 @@ class Distributed<step1Local, algorithmFPType, method> : public Online<algorithm
     typedef typename super::ResultType ResultType;
     typedef typename super::PartialResultType PartialResultType;
 
-    Distributed<step1Local, algorithmFPType, method>() : Online<algorithmFPType, method>() {}
+    Distributed() : Online<algorithmFPType, method>() {}
 
     /**
      * Constructs an algorithm for correlation or variance-covariance matrix computation
diff --git a/cpp/daal/include/algorithms/linear_regression/linear_regression_training_distributed.h b/cpp/daal/include/algorithms/linear_regression/linear_regression_training_distributed.h
index 3f613bfacd8..9023d6047b2 100644
--- a/cpp/daal/include/algorithms/linear_regression/linear_regression_training_distributed.h
+++ b/cpp/daal/include/algorithms/linear_regression/linear_regression_training_distributed.h
@@ -145,7 +145,7 @@ class Distributed<step1Local, algorithmFPType, method> : public Online<algorithm
     typedef typename super::PartialResultType PartialResultType;
 
     /** Default constructor */
-    Distributed<step1Local, algorithmFPType, method>() {}
+    Distributed() {}
 
     /**
      * Constructs a linear regression training algorithm in the first step of the distributed processing mode
diff --git a/cpp/daal/include/algorithms/linear_regression/linear_regression_training_types.h b/cpp/daal/include/algorithms/linear_regression/linear_regression_training_types.h
index daec99ca2a9..5ba0d20edb1 100644
--- a/cpp/daal/include/algorithms/linear_regression/linear_regression_training_types.h
+++ b/cpp/daal/include/algorithms/linear_regression/linear_regression_training_types.h
@@ -284,7 +284,7 @@ template <>
 class DAAL_EXPORT DistributedInput<step2Master> : public daal::algorithms::Input, public InputIface
 {
 public:
-    DistributedInput<step2Master>();
+    DistributedInput();
     /**
      * Gets an input object for linear regression model-based training
      * in the second step of the distributed processing mode
diff --git a/cpp/daal/include/algorithms/ridge_regression/ridge_regression_training_distributed.h b/cpp/daal/include/algorithms/ridge_regression/ridge_regression_training_distributed.h
index cb6eabcbe37..bdd0f5887a8 100644
--- a/cpp/daal/include/algorithms/ridge_regression/ridge_regression_training_distributed.h
+++ b/cpp/daal/include/algorithms/ridge_regression/ridge_regression_training_distributed.h
@@ -138,7 +138,7 @@ class Distributed<step1Local, algorithmFPType, method> : public Online<algorithm
     typedef typename super::PartialResultType PartialResultType;
 
     /** Default constructor */
-    Distributed<step1Local, algorithmFPType, method>() : Online<algorithmFPType, method>() {}
+    Distributed() : Online<algorithmFPType, method>() {}
 
     /**
      * Constructs a ridge regression training algorithm in the first step of the distributed processing mode by copying input objects and parameters
diff --git a/cpp/oneapi/dal/detail/common.hpp b/cpp/oneapi/dal/detail/common.hpp
index 0bdae47ddb3..a8b8ac01dfc 100644
--- a/cpp/oneapi/dal/detail/common.hpp
+++ b/cpp/oneapi/dal/detail/common.hpp
@@ -463,7 +463,9 @@ static constexpr auto allocate(Alloc& alloc, std::int64_t count) {
 }
 
 template <typename Alloc>
-static constexpr void deallocate(Alloc& alloc, typename Alloc::pointer ptr, std::int64_t count) {
+static constexpr void deallocate(Alloc& alloc,
+                                 typename std::allocator_traits<Alloc>::pointer ptr,
+                                 std::int64_t count) {
     using allocator_traits_t =
         typename std::allocator_traits<Alloc>::template rebind_traits<typename Alloc::value_type>;
     if (ptr != nullptr) {