## Federated Hyperparameter Optimization

### 2022
Coming soon!

### 2021

| Title | Venue | Link |
| --- | --- | --- |
| Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing | NeurIPS | [pdf](https://openreview.net/forum?id=p99rWde9fVJ), [code](https://github.com/mkhodak/FedEx) |
| FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning | NeurIPS workshop | [pdf](https://neurips2021workshopfl.github.io/NFFL-2021/papers/2021/Zhou2021.pdf) |
| FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective | Arxiv | [pdf](https://arxiv.org/pdf/2110.03061.pdf) |

### 2020

| Title | Venue | Link |
| --- | --- | --- |
| Federated Bayesian Optimization via Thompson Sampling | NeurIPS | [pdf](https://proceedings.neurips.cc/paper/2020/file/6dfe08eda761bd321f8a9b239f6f4ec3-Paper.pdf) |

### 2019

| Title | Venue | Link |
| --- | --- | --- |
| Learning Rate Adaptation for Differentially Private Learning | AISTATS | [pdf](http://proceedings.mlr.press/v108/koskela20a.html) |
| Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters | Arxiv | [pdf](https://arxiv.org/pdf/1912.13075.pdf) |