TsingZ0 / HtFLlib
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
☆123Updated 2 weeks ago
Alternatives and similar repositories for HtFLlib:
Users that are interested in HtFLlib are comparing it to the libraries listed below
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆141Updated 3 weeks ago
- ☆53Updated 2 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆121Updated 2 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆135Updated 2 years ago
- ☆174Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆84Updated last year
- PyTorch Federated Learning (easy to use and extend)☆235Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆268Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆76Updated 5 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 4 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆162Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆102Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆82Updated last year
- Code and data accompanying the FedGen paper☆246Updated 2 months ago
- Releasing the source code Version1.☆137Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆59Updated last month
- ☆22Updated last year
- Accenture Labs Federated Learning☆96Updated 10 months ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆67Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆530Updated this week
- Implement FedAvg algorithm based on Tensorflow☆237Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆66Updated 2 years ago
- ✨✨A curated list of latest advances on Foundation Models with Federated Learning☆72Updated last week
- Standard federated learning implementations in FedLab and FL benchmarks.☆157Updated 11 months ago
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆53Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆38Updated 2 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆117Updated 2 years ago