text: Title: Add Flower Baseline: Floco
  Body: ### Paper
  
  Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima. Federated Learning over Connected Modes (NeurIPS'25)
  
  ### Link
  
  https://openreview.net/pdf?id=JL2eMCfDW8
  
  ### Maybe give motivations about why the paper should be implemented as a baseline.
  
  Floco is an effective method for improving personalized model performance in the non-IID cross-silo federated learning setting compared to many state-of-the-art personalized FL methods while increasing global model performance compared to FedAvg and FedProx. It achieves this by training a shared parameter simplex, called solution simplex, across clients. This approach assigns similar clients to similar regions within the simplex, leading to better collaboration of similar clients, i.e. clients with similar data distributions, and less interference with dissimilar clients.
  The goal of this issue is to reproduce the SimpleCNN CIFAR-10 results from the original paper. The resulting code can be easily extended to the full experimental setup of the paper.
  
  ### Is there something else you want to add?
  
  _No response_
  
  ### Implementation
  
  #### To implement this baseline, it is recommended to do the following items in that order:
  
  ### For first time contributors
  
  - [x ]  Read the [`first contribution` doc](https://flower.ai/docs/first-time-contributors.html)
  - [ x]  Complete the Flower tutorial
  - [ x]  Read the Flower Baselines docs to get an overview:
      - [x ]  [How to use Flower Baselines](https://flower.ai/docs/baselines/how-to-use-baselines.html)
      - [ x]  [How to contribute a Flower Baseline](https://flower.ai/docs/baselines/how-to-contribute-baselines.html)
  
  
  ### Prepare - understand the scope
  
  - [x] Read the paper linked above
  - [x] Decide which experiments you'd like to reproduce. The more the better!
  - [x] Follow the steps outlined in [Add a new Flower Baseline](https://flower.ai/docs/baselines/how-to-contribute-baselines.html#add-a-new-flower-baseline).
  - [x] You can use as reference [other baselines](https://github.com/adap/flower/tree/main/baselines) that the community merged following those steps.
  
  ### Verify your implementation
  
  - [x] Follow the steps indicated in the `EXTENDED_README.md` that was created in your baseline directory
  - [x] Ensure your code reproduces the results for the experiments you chose
  - [x] Ensure your `README.md` is ready to be run by someone that is no familiar with your code. Are all step-by-step instructions clear?
  - [x] Ensure running the formatting and typing tests for your baseline runs without errors.
  - [x] Clone your repo on a new directory, follow the guide on your own `README.md` and verify everything runs.