llm-eff / FedPepTAOLinks
☆31Updated last year
Alternatives and similar repositories for FedPepTAO
Users that are interested in FedPepTAO are comparing it to the libraries listed below
Sorting:
- ☆64Updated 2 years ago
- ☆87Updated 7 months ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆96Updated 3 weeks ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 9 months ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆39Updated 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…☆49Updated 5 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- ☆102Updated 11 months ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- ☆40Updated last year
- Source code of FedPrompt☆15Updated 3 years ago
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆23Updated 9 months ago
- Simplified Implementation of FedPAC☆59Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- Latest Advances on Federated LLM Learning☆57Updated last month
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆121Updated last month
- ☆16Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆54Updated 7 months ago
- ☆33Updated 2 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆95Updated last year
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Federated learning using a mixture of experts☆17Updated 4 years ago
- ☆22Updated 4 years ago
- For distributed machine learning☆28Updated 2 months ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago