Lydia-yang / FedDPA
☆11Updated 4 months ago
Alternatives and similar repositories for FedDPA:
Users that are interested in FedDPA are comparing it to the libraries listed below
- ☆21Updated 2 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆102Updated 3 weeks ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆53Updated last year
- ☆72Updated 3 months ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆43Updated last month
- Federated Learning in CVPR2024☆17Updated 10 months ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆34Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- Latest Advances on Federated LLM Learning☆36Updated 3 weeks ago
- ☆62Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆84Updated 2 months ago
- ☆14Updated last year
- ☆16Updated last year
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆39Updated 11 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 3 months ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆36Updated last year
- ☆31Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 6 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆56Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆32Updated last year
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- Code Implementation and Informations about FedAS☆22Updated 2 months ago
- ☆12Updated 3 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆28Updated 2 years ago
- ☆26Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆26Updated 2 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆55Updated last month