TsingZ0 / HtFLlib
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
☆140Updated last week
Alternatives and similar repositories for HtFLlib:
Users that are interested in HtFLlib are comparing it to the libraries listed below
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆124Updated 4 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆147Updated 2 months ago
- ☆59Updated 4 months ago
- ☆175Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆146Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆244Updated last year
- Releasing the source code Version1.☆148Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆168Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆272Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆86Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 7 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 4 months ago
- Accenture Labs Federated Learning☆97Updated last year
- Implement FedAvg algorithm based on Tensorflow☆245Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆62Updated 3 months ago
- ☆74Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆161Updated 2 years ago
- Track Federated Learning Papers☆27Updated this week
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆120Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆70Updated 2 years 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)☆141Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆555Updated this week
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆68Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆62Updated last year
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆92Updated last week