You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
☆231Apr 23, 2026Updated last week
Alternatives and similar repositories for HtFLlib
Users that are interested in HtFLlib are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,117Jan 25, 2026Updated 3 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆68Dec 27, 2024Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆68Mar 12, 2025Updated last year
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆675Jan 25, 2026Updated 3 months ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,977Apr 13, 2026Updated 2 weeks ago
- ☆85Oct 23, 2024Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆149Nov 11, 2024Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆29Oct 27, 2023Updated 2 years ago
- ☆16Aug 25, 2021Updated 4 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆47Feb 16, 2023Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆72Dec 9, 2024Updated last year
- ☆56Feb 23, 2024Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆65Aug 28, 2023Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- ☆22Sep 1, 2023Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆181May 26, 2022Updated 3 years ago
- An experimental platform for federated learning.☆628Jun 4, 2025Updated 10 months ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆52Apr 3, 2024Updated 2 years ago
- ☆469Dec 12, 2024Updated last year
- ☆15Dec 15, 2023Updated 2 years ago
- Codes for FedKD☆62Jul 18, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Personalized federated learning codebase for research☆412Oct 4, 2023Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Apr 25, 2023Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆93Feb 24, 2023Updated 3 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated 6 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆66Jan 21, 2024Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆132Dec 20, 2024Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆32Dec 17, 2024Updated last year
- Pytorch implementations of some general federated optimization methods.☆57Oct 25, 2024Updated last year
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Feb 11, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 4 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆187Mar 16, 2021Updated 5 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆165Dec 26, 2024Updated last year
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆19May 29, 2023Updated 2 years ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆46Apr 8, 2023Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆96Apr 24, 2023Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 3 years ago