☆71Jun 2, 2023Updated 3 years ago
Alternatives and similar repositories for FedPETuning
Users that are interested in FedPETuning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Oct 9, 2023Updated 3 years ago
- Shepherd: A foundational framework enabling federated instruction tuning for large language models☆254Jul 7, 2023Updated 3 years ago
- ☆33Mar 4, 2024Updated 2 years ago
- Federated Learning for LLMs.☆273Sep 4, 2026Updated last month
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆66Jan 21, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The first real-world FL benchmark for legal NLP☆14Nov 29, 2023Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆27Apr 28, 2024Updated 2 years ago
- Federated Learning - PyTorch☆15Jun 27, 2021Updated 5 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated last year
- ☆125Aug 14, 2024Updated 2 years ago
- An easy-to-use federated learning platform☆1,542Aug 10, 2024Updated 2 years ago
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Sep 4, 2023Updated 3 years ago
- ☆479Dec 12, 2024Updated last year
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆160Jan 21, 2026Updated 9 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Robust Federated Learning for Large Language Models in Adversarial Wireless Environments☆16Mar 7, 2025Updated last year
- ☆19Nov 18, 2023Updated 2 years ago
- Official repository for FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning (ICCV2023)☆21Dec 1, 2023Updated 2 years ago
- ☆11Dec 8, 2020Updated 5 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆104Jul 17, 2025Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 4 years ago
- ☆12Jun 2, 2023Updated 3 years ago
- Split Learning Simulation Framework for LLMs☆41Sep 10, 2024Updated 2 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆35Aug 18, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Federated Dynamic Sparse Training☆31May 26, 2022Updated 4 years ago
- ☆27Apr 15, 2024Updated 2 years ago
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆24Jun 6, 2024Updated 2 years ago
- Source code of FedPrompt☆16May 4, 2022Updated 4 years ago
- ☆79May 28, 2022Updated 4 years ago
- ☆26Jun 3, 2026Updated 4 months ago
- Resource Efficient Federated Learning☆25Jan 13, 2023Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 3 years ago
- ☆11Jul 21, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆33Jan 11, 2024Updated 2 years ago
- Evaluation runtime for Phase 2 of the PETs Prize Challenge☆10Jan 26, 2023Updated 3 years ago
- ☆32Mar 12, 2023Updated 3 years ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆16Oct 14, 2024Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆115Sep 9, 2025Updated last year
- A repository for LotteryFL re-implementation and experiments☆13Dec 18, 2020Updated 5 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆24Feb 9, 2023Updated 3 years ago