# ubc-tea/desa

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16 stars · 4 forks · Python

## Links

- GitHub: https://github.com/ubc-tea/DESA
- awesome-repositories: https://awesome-repositories.com/repository/ubc-tea-desa.md

## Description

The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors" accepted at ICML 2024

## Tags

### Part of an Awesome List

- [Federated Learning](https://awesome-repositories.com/f/awesome-lists/ai/federated-learning.md) — Overcomes data and model heterogeneities using synthetic anchors.