Merge pull request #125 from FederatedAI/feature-2.2.0-update_doc

add readme to fdkt

doc/tutorial/fdkt/README.md

@@ -0,0 +1,14 @@
+# FATE-LLM: FDKT
+The algorithm is based on paper [Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data](https://arxiv.org/pdf/2405.14212), 
+a novel framework that enables domain-specific knowledge transfer from LLMs to SLMs while preserving SLM data privacy.
+
+## Citation
+If you publish work that uses FDKT, please cite FDKT as follows:
+```
+@article{li2024federated,
+  title={Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data},
+  author={Li, Haoran and Zhao, Xinyuan and Guo, Dadi and Gu, Hanlin and Zeng, Ziqian and Han, Yuxing and Song, Yangqiu and Fan, Lixin and Yang, Qiang},
+  journal={arXiv preprint arXiv:2405.14212},
+  year={2024}
+}
+```

doc/tutorial/fdkt/fdkt.ipynb

@@ -528,7 +528,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Running FEDMKT with Pipeline (Industrial Using)"
+    "## Running FDKT with Pipeline (Industrial Using)"
    ]
   },
   {

doc/tutorial/fedmkt/README.md

@@ -1,6 +1,6 @@
 # FATE-LLM: FedMKT
 
-The Algorithm is based on paper ["FedMKT: Federated Mutual Knowledge Transfer for Large and SmallLanguage Models"](https://arxiv.org/pdf/2406.02224), We integrate its code into the FATE-LLM framework.  
+The algorithm is based on paper ["FedMKT: Federated Mutual Knowledge Transfer for Large and SmallLanguage Models"](https://arxiv.org/pdf/2406.02224), We integrate its code into the FATE-LLM framework.  
 
 ## Citation
 If you publish work that uses FedMKT, please cite FedMKT as follows:
@@ -11,4 +11,4 @@ If you publish work that uses FedMKT, please cite FedMKT as follows:
   journal={arXiv preprint arXiv:2406.02224},
   year={2024}
 }
-```
+```

doc/tutorial/pdss/README.md

@@ -1,5 +1,5 @@
 # FATE-LLM: PDSS
-The Algorithm is based on paper ["PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models"](https://arxiv.org/pdf/2406.12403), which introduce a novel framework for privacy preserving federated distillation. We integrate its code into the FATE-LLM framework.
+The algorithm is based on paper ["PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models"](https://arxiv.org/pdf/2406.12403), which introduce a novel framework for privacy preserving federated distillation. We integrate its code into the FATE-LLM framework.
 
 ## Citation
 If you publish work that uses PDSS, please cite PDSS as follows:
@@ -10,4 +10,4 @@ If you publish work that uses PDSS, please cite PDSS as follows:
   journal={arXiv preprint arXiv:2406.12403},
   year={2024}
 }
-```
+```