auto update @ 2024-02-05T16:28:54Z Asia/Shanghai

README.md

@@ -373,8 +373,8 @@ Federated Learning papers accepted by top ML(machine learning) conference and jo
 |Title                                                           |    Affiliation                                                     |    Venue             |    Year    |    Materials|
 | ------------------------------------------------------------ | ------------------------------------------------------------ | -------------- | ---- | ------------------------------------------------------------ |
 | SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning | University at Buffalo | NeurIPS | 2023 | [[PUB](https://openreview.net/forum?id=ZdxGmJGKOo)] [[PDF](https://arxiv.org/abs/2305.19442)] [[SUPP](https://openreview.net/attachment?id=ZdxGmJGKOo&name=supplementary_material)] |
-| Mechanism Design for Collaborative Normal Mean Estimation | UW-Madison | NeurIPS | 2023 | [PUB](https://openreview.net/forum?id=yKCLfOOIL7) [PDF](https://arxiv.org/abs/2306.06351) |
-| Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity | EPFL | NeurIPS | 2023 | [PUB](https://openreview.net/forum?id=n3fPDW87is) [PDF](https://arxiv.org/abs/2309.13591) [code](https://github.com/GeovaniRizk/Robust-Distributed-Learning-Tight-Error-Bounds-and-Breakdown-Point-under-Data-Heterogeneity) |
+| Mechanism Design for Collaborative Normal Mean Estimation | UW-Madison | NeurIPS | 2023 | [[PUB](https://openreview.net/forum?id=yKCLfOOIL7)] [[PDF](https://arxiv.org/abs/2306.06351)] |
+| Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity | EPFL | NeurIPS | 2023 | [[PUB](https://openreview.net/forum?id=n3fPDW87is)] [[PDF](https://arxiv.org/abs/2309.13591)] [[CODE](https://github.com/GeovaniRizk/Robust-Distributed-Learning-Tight-Error-Bounds-and-Breakdown-Point-under-Data-Heterogeneity)] |
 | Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization | UIUC | NeurIPS | 2023 | [[PUB](https://openreview.net/forum?id=9OqezkNxnX)] [[SUPP](https://openreview.net/attachment?id=9OqezkNxnX&name=supplementary_material)] |
 | Convergence Analysis of Sequential Federated Learning on Heterogeneous Data | BUPT | NeurIPS | 2023 | [[PUB](https://openreview.net/forum?id=Dxhv8Oja2V)] [[PDF](https://arxiv.org/abs/2311.03154)] [[CODE](https://github.com/liyipeng00/convergence)] |
 | Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition | MBZUAI | NeurIPS | 2023 | [[PUB](https://openreview.net/forum?id=LGKxz9clGG)] [[PDF](https://arxiv.org/abs/2310.15165)] [[CODE](https://github.com/sarapieri/fed_het)] |

data.yaml

@@ -3030,6 +3030,22 @@ fl-in-top-ml-conference-and-journal:
       PUB: https://openreview.net/forum?id=ZdxGmJGKOo
       PDF: https://arxiv.org/abs/2305.19442
       SUPP: https://openreview.net/attachment?id=ZdxGmJGKOo&name=supplementary_material
+  - title: Mechanism Design for Collaborative Normal Mean Estimation
+    affiliation: UW-Madison
+    venue: NeurIPS
+    year: '2023'
+    materials:
+      PUB: https://openreview.net/forum?id=yKCLfOOIL7
+      PDF: https://arxiv.org/abs/2306.06351
+  - title: 'Robust Distributed Learning: Tight Error Bounds and Breakdown Point under
+      Data Heterogeneity'
+    affiliation: EPFL
+    venue: NeurIPS
+    year: '2023'
+    materials:
+      PUB: https://openreview.net/forum?id=n3fPDW87is
+      PDF: https://arxiv.org/abs/2309.13591
+      CODE: https://github.com/GeovaniRizk/Robust-Distributed-Learning-Tight-Error-Bounds-and-Breakdown-Point-under-Data-Heterogeneity
   - title: 'Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms
       for Welfare Maximization'
     affiliation: UIUC