# FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models

This is the official implementation of the paper FedComLoc, TMLR 2025 Review Only. All rights reserved by the submission authors.

## Environment Setup
```bash
pip install -r requirements.txt
```

## Reproduce Core Results of FedComLoc

- Running FedComLoc:

```
sh scripts/fedcomloc.sh
```

Here is the example code to reproduce the core results in the paper. By selecting different compressors, models, alphas, and n_bits, various tables in the paper can be generated. 


