TsingZ0 / HtFLlibLinks
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
☆219Updated last month
Alternatives and similar repositories for HtFLlib
Users that are interested in HtFLlib are comparing it to the libraries listed below
Sorting:
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆168Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- ☆80Updated last year
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆142Updated 2 weeks ago
- Model-Contrastive Federated Learning (CVPR 2021)☆294Updated 3 years ago
- ☆182Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆296Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆661Updated last week
- Personalized federated learning codebase for research☆406Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆94Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- ☆26Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆50Updated last year
- Code and data accompanying the FedGen paper☆256Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆182Updated 4 years ago
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆66Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆77Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆102Updated 5 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆610Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago
- Releasing the source code Version1.☆177Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆264Updated 5 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆113Updated 3 years ago
- Accenture Labs Federated Learning☆106Updated last year