add paper list (#375)

alibaba · Sep 17, 2022 · 6a669a1 · 6a669a1
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diff --git a/materials/paper_list/Federated_Learning_for_Multi-Task/README.md b/materials/paper_list/Federated_Learning_for_Multi-Task/README.md
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+## Federated Learning for Multi-Task
+
+### 2022
+
+| Title                                                        | Venue  | Link                                                         |
+| ------------------------------------------------------------ | ------ | ------------------------------------------------------------ |
+| Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications | JBHI   | [pdf](https://ieeexplore.ieee.org/abstract/document/9648036) |
+| Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization | ICASSP | [pdf](https://ieeexplore.ieee.org/abstract/document/9746007) |
+| Decentralized Graph Federated Multitask Learning for Streaming Data | CCIS   | [pdf](https://ieeexplore.ieee.org/abstract/document/9751160) |
+
+### 2021
+
+| Title                                                        | Venue        | Link                                                         |
+| ------------------------------------------------------------ | ------------ | ------------------------------------------------------------ |
+| FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery | ICCAD        | [pdf](https://ieeexplore.ieee.org/abstract/document/9643440) |
+| Splitting chemical structure data sets for federated privacy-preserving machine learning | J.Cheminform | [pdf](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00576-2) |
+
diff --git a/materials/paper_list/Federated_Learning_on_Medical_Data/README.md b/materials/paper_list/Federated_Learning_on_Medical_Data/README.md
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+## Federated Learning on Medical Data
+
+### 2022
+
+| Title                                                        | Venue    | Link                                                         |
+| ------------------------------------------------------------ | -------- | ------------------------------------------------------------ |
+| SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data | AAAI     | [pdf](https://www.aaai.org/AAAI22Papers/AAAI-4599.HeC.pdf)   |
+| Federated learning of molecular properties with graph neural networks in a heterogeneous setting | Patterns | [pdf](https://www.sciencedirect.com/science/article/pii/S2666389922001180) |
+| Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM | CCIS     | [pdf](https://link.springer.com/chapter/10.1007/978-3-030-93733-1_34) |
+
+### 2021
+
+| Title                                                        | Venue                       | Link                                                         |
+| ------------------------------------------------------------ | --------------------------- | ------------------------------------------------------------ |
+| FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery | ICCAD                       | [pdf](https://ieeexplore.ieee.org/abstract/document/9643440) |
+| Splitting chemical structure data sets for federated privacy-preserving machine learning | J.Cheminform                | [pdf](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00576-2) |
+| Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches | Science China Life Sciences | [pdf](https://link.springer.com/article/10.1007/s11427-021-1946-0) |
+| FLOP: Federated Learning on Medical Datasets using Partial Networks | KDD                         | [pdf](https://dl.acm.org/doi/abs/10.1145/3447548.3467185)    |
+
+### 2020
+
+| Title                                                        | Venue          | Link                                                         |
+| ------------------------------------------------------------ | -------------- | ------------------------------------------------------------ |
+| Secure multiparty computation for privacy-preserving drug discovery | Bioinformatics | [pdf](https://watermark.silverchair.com/btaa038.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAuQwggLgBgkqhkiG9w0BBwagggLRMIICzQIBADCCAsYGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMdcoXxZP-7dBrdXEzAgEQgIIClyqcZJ5bk8WS94gxG1TLCJ4RIluD8isSk1mjG0UlZqpqbiE6Qo-woVPAfPw3cC8uozlbEq2Ubh6uN68GNY1CrpdZl6S25sYz99bR9o8AsA139JjCKvH6NtOrs7pDxCpOQgHORfIvSYXbsRvEc-vrx013j5n68Ewcs_xIK5E7GO6M5gMMl4GoTU54PMuj05dXMuh-kQjWDaTusH-v_DTldHHn6eRhYGgNtU4shGAinoCrQM5dpbnpwQiy2iusSDjPSEOcCtcy4C7v2xs0PzZurc_Woh7PE6pbM4KMSyUj1NICHn468bWjU0YBEVGUbZNqQbE1BWxE6j1ygV8r8UiXt8B6vxPsW8JzjSzYdMojA-oCmoZM8Ru0plrKka12h4st8P-bkzfPvK9y5F6oetdaZnGMGNA9MHXZ1SnC8Da2-WV8rA-g0OBlFcKdh9k5cgf0pnt7L569QGdd_frzpI6NgnqEZwY3INxxcd6ElMUXm7mOJbBECbkPmGqREG4J6fMF5wstT1nfafteWdmLhflHGxfwMTsGmlgBSzEKalFdUt3GNCEFyeJAy6D_5_mcb3m-X81fHLJARnzcVX6LV1CvBlMk7zkuitTfeW_ZXH2u3bzRRdeZqpHcfvLHCMOA4B7FSkFw-FNkCpn8odsSxJ3DXf_ZSKNyzw8PqlHadzp48YULho3jPDdmXOQEYEBdSuj3JR8eb-GhzoaWEA2W1pzz7nr_I98CBgrWztpsWqt2IOKgqe4bLzMVKoN7Oh0cMRxSeKTc_mujFb9t9W4gs07GcwBqNsqcevy5-iJmoPZf1c37qXHu6u0kZ4SprUSh4C-G6Hhe3AXbprcwggcwLzjlVcll2T5pU86JrrPf4Ia_jNQHHN3WKGJybw) |
diff --git a/materials/paper_list/Federated_Self-Supervised_Learning/README.md b/materials/paper_list/Federated_Self-Supervised_Learning/README.md
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+## Federated Self-Supervised Learning 
+
+### 2022
+
+| Title                                                        | Venue   | Link                                                         |
+| ------------------------------------------------------------ | ------- | ------------------------------------------------------------ |
+| SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision | FL-AAAI | [pdf](https://federated-learning.org/fl-aaai-2022/Papers/FL-AAAI-22_paper_36.pdf) |
+| Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering | ICML    | [pdf](https://arxiv.org/pdf/2205.11506.pdf), [code](https://github.com/akhilmathurs/orchestra) |
+| Divergence-aware Federated Self-Supervised Learning          | ICLR    | [pdf](https://arxiv.org/pdf/2204.04385.pdf)                  |
+| Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients | ICLR    | [pdf](https://niug1984.github.io/paper/lu_iclr22.pdf)        |
+
+### 2021
+
+| Title                                                        | Venue | Link                                                         |
+| ------------------------------------------------------------ | ----- | ------------------------------------------------------------ |
+| Collaborative unsupervised visual representation learning from decentralized data | ICCV  | [pdf](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhuang_Collaborative_Unsupervised_Visual_Representation_Learning_From_Decentralized_Data_ICCV_2021_paper.pdf) |
+
+### 2020
+
+| Title                                                        | Venue      | Link                                                      |
+| ------------------------------------------------------------ | ---------- | --------------------------------------------------------- |
+| Performance optimization of federated person re-identification via benchmark analysis | MM         | [pdf](https://dl.acm.org/doi/abs/10.1145/3394171.3413814) |
+| Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence | IEEE IoT-J | [pdf](https://arxiv.org/pdf/2007.13018.pdf)               |
+| Federated unsupervised representation learning               | Arxiv      | [pdf](https://arxiv.org/pdf/2010.08982.pdf)               |
+| Towards utilizing unlabeled data in federated learning: A survey and prospective | Arxiv      | [pdf](https://arxiv.org/pdf/2002.11545.pdf)               |
+| Towards federated unsupervised representation learning       | EdgeSys    | [pdf](https://dl.acm.org/doi/abs/10.1145/3378679.3394530) |