YingqiLiu1999 / DFedPGP
☆13Updated 3 months ago
Alternatives and similar repositories for DFedPGP:
Users that are interested in DFedPGP are comparing it to the libraries listed below
- Federated Learning in CVPR2024☆17Updated 9 months ago
- ☆11Updated 4 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆98Updated last week
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- ☆91Updated 7 months ago
- Simplified Implementation of FedPAC☆55Updated last year
- ☆62Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆83Updated 2 months ago
- ☆30Updated last year
- ☆69Updated 3 months ago
- Code for ScaleFL☆31Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 5 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 7 months ago
- ☆14Updated last year
- ☆8Updated 4 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆51Updated last year
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆88Updated 11 months ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆103Updated last year
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆93Updated 4 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆42Updated 8 months ago
- ☆9Updated 2 years ago
- Latest Advances on Federated LLM Learning☆34Updated 2 weeks ago
- ☆77Updated 3 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆17Updated 2 years ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆33Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆35Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆144Updated last week
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- ☆14Updated 9 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆147Updated 3 months ago