longtanle / awesome-federated-LLM-learning
This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuously updated to track the frontier of FedLLM.
☆66Updated last week
Related projects ⓘ
Alternatives and complementary repositories for awesome-federated-LLM-learning
- ☆58Updated last year
- ✨✨A curated list of latest advances on Foundation Models with Federated Learning☆54Updated 3 weeks ago
- ☆31Updated 8 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆81Updated 3 months ago
- Papers related to federated learning in top conferences (2020-2024).☆66Updated 3 weeks ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆20Updated last month
- Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆106Updated 3 weeks ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆63Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆122Updated 4 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆31Updated last year
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆80Updated 6 months ago
- Federated Learning - PyTorch☆15Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 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…☆35Updated 2 months ago
- ☆24Updated last year
- Tutorials and paper lists for federated learning☆64Updated 2 years ago
- ☆31Updated 2 years ago
- Federated Learning in CVPR2024☆13Updated 5 months ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆67Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆132Updated 2 years ago
- ☆26Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆25Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆77Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆80Updated 9 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆35Updated 2 months ago
- Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan University.☆11Updated 5 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆28Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆27Updated last year