checked and trusted notebooks

Author: leriomaggio

3-federated-learning/1-Intro-Federated-Learning.ipynb

@@ -3182,7 +3182,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,

3-federated-learning/2-Homomorphic-Encryption.ipynb

@@ -3111,7 +3111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "bdcbbd53-0049-4b0c-9642-ae21f20d7a1e",
    "metadata": {},
    "outputs": [],
@@ -3127,7 +3127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "f1a0cbf9-b445-4117-b2fa-537402b081f9",
    "metadata": {},
    "outputs": [],
@@ -3137,7 +3137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "25b32d56-f468-4b79-b351-4dd19bd765bb",
    "metadata": {},
    "outputs": [],
@@ -3148,7 +3148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "2fcefbf6-42a7-403a-a03c-884afe922a50",
    "metadata": {},
    "outputs": [],
@@ -3168,7 +3168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "2dc11391-39fc-4e84-891f-53d4296894da",
    "metadata": {},
    "outputs": [],
@@ -3191,7 +3191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "46f9bfc2-678e-4cc0-80c4-833710be20b4",
    "metadata": {},
    "outputs": [],
@@ -3238,7 +3238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "7efb4506-d11d-4fc0-95b3-fcf71fbbae41",
    "metadata": {},
    "outputs": [],
@@ -3272,7 +3272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "f56f1247-27de-45e3-8299-a4793e037725",
    "metadata": {},
    "outputs": [],
@@ -3289,18 +3289,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "5f7bd444-eb7f-4d55-a55e-f7ee737a91b1",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Alice: Generating paillier keypair\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Alice: Generating paillier keypair\")\n",
     "alice = Alice()\n",
@@ -3310,19 +3302,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "55f86ad0-5fcf-4874-8d58-07c1da3a28a2",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Alice: Training BC Classifier\n",
-      "[elapsed time: 0.02 s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Alice: Training BC Classifier\")\n",
     "with timer() as t:\n",
@@ -3339,20 +3322,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "be931707-a0b6-4a0e-bab8-75d64c8e8239",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Classify with model in the clear -- what Alice would get having Bob's data locally\n",
-      "[elapsed time: 0.00 s]\n",
-      "Error 0.014\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\n",
     "    \"Classify with model in the clear -- \"\n",
@@ -3373,19 +3346,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "d97d605a-0746-47be-acc6-416f3ffd8295",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Alice: Encrypting classifier\n",
-      "[elapsed time: 0.43 s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Alice: Encrypting classifier\")\n",
     "with timer() as t:\n",
@@ -3394,18 +3358,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "c78f1493-5423-4b9d-89cd-60e6186ba483",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Bob: Scoring with encrypted classifier\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Bob: Scoring with encrypted classifier\")\n",
     "bob = Bob(alice.pubkey)\n",
@@ -3414,18 +3370,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "385c53c9-f399-4d8a-bcd9-2aefe0b22985",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[elapsed time: 5.77 s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with timer() as t:\n",
     "    encrypted_scores = bob.encrypted_evaluate(X_test)"
@@ -3441,21 +3389,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "5e44043a-08f3-4e95-9d6d-0ebc06c8c98b",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Alice: Decrypting Bob's scores\n",
-      "[elapsed time: 0.59 s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Alice: Decrypting Bob's scores\")\n",
     "with timer() as t:\n",
@@ -3464,18 +3403,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "ed338750-e553-4b87-81d3-72338dd9116f",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Error 0.014 -- this is not known to Alice, who does not possess the ground truth labels\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "error = np.mean(np.sign(scores) != y_test)\n",
     "print(\n",
@@ -3511,7 +3442,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,

3-federated-learning/3-OpenMined-private-AI-series.ipynb

@@ -3132,7 +3132,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,