wenzhifang / Federated-Sketching-LoRA-ImplementationLinks
☆22Updated 3 months ago
Alternatives and similar repositories for Federated-Sketching-LoRA-Implementation
Users that are interested in Federated-Sketching-LoRA-Implementation are comparing it to the libraries listed below
Sorting:
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆186Updated 3 weeks ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆96Updated last month
- Simplified Implementation of FedPAC☆60Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆55Updated last year
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆52Updated 5 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆155Updated 8 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆125Updated 2 months ago
- ☆33Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆43Updated 10 months ago
- Latest Advances on Federated LLM Learning☆60Updated last month
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆159Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- Federated Learning in CVPR2024☆18Updated last year
- ☆72Updated 10 months ago
- Releasing the source code Version1.☆167Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 3 years ago
- ☆90Updated 7 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆56Updated 8 months ago
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆100Updated 3 weeks ago
- ☆51Updated 8 months ago
- [KDD 2023] FedMultimodal☆111Updated 3 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 9 months ago
- ☆26Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆172Updated 2 years ago
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆60Updated last year
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆38Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆86Updated last year