fix paper order [skip ci] (#1092)

* fix paper order

* fix date and order

Author: holgerroth

docs/publications_and_talks.md

@@ -5,18 +5,18 @@ including papers using NVIDIA FLARE's predecessor libraries included in the [Cla
 #### 2022
 * **2022-12** [FLARE: Federated Learning from Simulation to Real-World](https://arxiv.org/abs/2210.13291) ([International Workshop on Federated Learning, NeurIPS 2022, New Orleans, USA](https://federated-learning.org/fl-neurips-2022))
 * **2022-10** [Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation](https://arxiv.org/abs/2203.06338) ([ECCV 2022](https://eccv2022.ecva.net/))
+* **2022-10** [Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning](https://link.springer.com/chapter/10.1007/978-3-031-18523-6_6) ([DeCaF @ MICCAI 2022](https://decaf-workshop.github.io/decaf-2022/))
+* **2022-10** [Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation](https://arxiv.org/abs/2208.10553) ([DeCaF @ MICCAI 2022](https://decaf-workshop.github.io/decaf-2022/))
 * **2022-06** [Closing the Generalization Gap of Cross-silo Federated Medical Image
 Segmentation](https://openaccess.thecvf.com/content/CVPR2022/papers/Xu_Closing_the_Generalization_Gap_of_Cross-Silo_Federated_Medical_Image_Segmentation_CVPR_2022_paper.pdf) ([CVPR 2022](https://cvpr2022.thecvf.com/))
+* **2022-02** [Do Gradient Inversion Attacks Make Federated Learning Unsafe?](https://arxiv.org/abs/2202.06924) (Preprint)
 
 #### 2021
-* **2021-04** [Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan](https://www.sciencedirect.com/science/article/pii/S1361841521000384) ([Medical Image Analysis](https://www.sciencedirect.com/journal/medical-image-analysis))
-* **2022-10** [Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning](https://link.springer.com/chapter/10.1007/978-3-031-18523-6_6) ([DeCaF @ MICCAI 2022](https://decaf-workshop.github.io/decaf-2022/))
-* **2022-10** [Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation](https://arxiv.org/abs/2208.10553) ([DeCaF @ MICCAI 2022](https://decaf-workshop.github.io/decaf-2022/))
-* **2022-02** [Do Gradient Inversion Attacks Make Federated Learning Unsafe?](https://arxiv.org/abs/2202.06924) (Preprint)
 * **2021-10** [Federated whole prostate segmentation in mri with personalized neural architectures](https://arxiv.org/abs/2107.08111) ([MICCAI 2021](https://www.miccai2021.org/en/))
 * **2021-10** [Multi-task Federated Learning for Heterogeneous Pancreas Segmentation](https://arxiv.org/abs/2108.08537) ([DCL @ MICCAI 2021](https://dcl-workshop.github.io/))
 * **2021-09** [Federated learning for predicting clinical outcomes in patients with COVID-19](https://www.nature.com/articles/s41591-021-01506-3) ([Nature Medicine](https://www.nature.com/nm/))
 * **2021-06** [Federated learning improves site performance in multicenter deep learning without data sharing](https://academic.oup.com/jamia/article-abstract/28/6/1259/6127556) ([JAMIA](https://academic.oup.com/jamia))
+* **2021-05** [Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan](https://www.sciencedirect.com/science/article/pii/S1361841521000384) ([Medical Image Analysis](https://www.sciencedirect.com/journal/medical-image-analysis))
 * **2021-04** [Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation](https://arxiv.org/abs/2104.10195) (Preprint)
 
 #### 2020
@@ -39,7 +39,7 @@ NVIDIA FLARE related blogs and other media.
 * **2021-06** [Federated Learning with Homomorphic Encryption](https://developer.nvidia.com/blog/federated-learning-with-homomorphic-encryption/) (NVIDIA Technical Blog)
 
 #### 2019
-* **2019-12** [Federated Learning powered by NVIDIA Clara](https://developer.nvidia.com/blog/federated-learning-clara/)
+* **2019-12** [Federated Learning powered by NVIDIA Clara](https://developer.nvidia.com/blog/federated-learning-clara/) (NVIDIA Technical Blog)
 * **2019-10** [NVIDIA Research: First Privacy-Preserving Federated Learning System for Medical Imaging](https://www.youtube.com/watch?v=Jy7ozgwovgg) (NVIDIA video)
 
 ## Talks