ziyaow1010 / FederatedLLMLinks
☆98Updated 10 months ago
Alternatives and similar repositories for FederatedLLM
Users that are interested in FederatedLLM are comparing it to the libraries listed below
Sorting:
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆101Updated 4 months ago
- ☆65Updated 2 years ago
- Latest Advances on Federated LLM Learning☆76Updated 4 months ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆57Updated 8 months ago
- ☆112Updated last year
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆138Updated last week
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆51Updated 7 months ago
- ☆31Updated last year
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- Federated Learning in CVPR2024☆19Updated last year
- Simplified Implementation of FedPAC☆60Updated last year
- Federated Learning - PyTorch☆14Updated 4 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 10 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- ☆35Updated 2 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆65Updated 8 months ago
- Source code of FedPrompt☆16Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆122Updated 11 months ago
- ☆18Updated 11 months ago
- ☆35Updated last year
- ☆441Updated 11 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆63Updated last year
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆208Updated 2 months ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆105Updated last year
- PFLoRA-lib: Personalized Federated Learning with LoRA Algorithm Library focusing on privacy-protection, federated-learning, Citation, Ext…☆13Updated last year
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆25Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago