# Federated mixture-of-experts

Area: [Mixture-of-experts](https://mlsanity.com/moe/index.md). HTML: https://mlsanity.com/moe/federated-mixture-of-experts/

## Key facts

- Federated mixture-of-experts: 37 papers on arXiv since 2020 (data through 14 Oct 2026).
- 12 of its 37 mapped papers (32%) cite “PFL-MoE: Personalized Federated Learning Based on Mixture of Experts” (2020, arXiv 2012.15589).
- 12 of its 37 mapped papers (32%) cite “FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts” (2024, arXiv 2408.11304).

## Most cited here

- [PFL-MoE: Personalized Federated Learning Based on Mixture of Experts](https://mlsanity.com/paper/2012.15589/) (2020), cited by 12 papers here
- [FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts](https://mlsanity.com/paper/2408.11304/) (2024), cited by 12 papers here
- [FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation](https://mlsanity.com/paper/2411.02115/) (2024), cited by 9 papers here
- [Specialized federated learning using a mixture of experts](https://mlsanity.com/paper/2010.02056/) (2020), cited by 7 papers here
- [Federated Mixture of Experts](https://mlsanity.com/paper/2107.06724/) (2021), cited by 7 papers here
- [pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning](https://mlsanity.com/paper/2402.01350/) (2024), cited by 7 papers here
- [PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning](https://mlsanity.com/paper/2502.00354/) (2025), cited by 6 papers here
- [Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings](https://mlsanity.com/paper/2306.08586/) (2023), cited by 3 papers here
- [dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis](https://mlsanity.com/paper/2503.10412/) (2025), cited by 3 papers here
- [Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach](https://mlsanity.com/paper/2507.05685/) (2025), cited by 3 papers here