wuch15 / FedPromptLinks
Source code of FedPrompt
☆13Updated 3 years ago
Alternatives and similar repositories for FedPrompt
Users that are interested in FedPrompt are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆50Updated 5 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆110Updated 5 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆43Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆54Updated last year
- ☆31Updated last year
- Simplified Implementation of FedPAC☆56Updated last year
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆22Updated 7 months ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆35Updated last month
- ☆49Updated 3 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆15Updated last year
- ☆64Updated 2 years ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆38Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆22Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 10 months ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆16Updated 2 years ago
- ☆15Updated last year
- Federated Learning - PyTorch☆14Updated 3 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆20Updated last year
- ☆16Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 7 months ago
- ☆32Updated last year
- ☆13Updated 3 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆90Updated 4 months ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- Code Implementation and Informations about FedAS☆23Updated 4 months ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- Benchmark for federated noisy label learning☆23Updated 9 months ago