leondada / FedRA
☆16Updated last year
Alternatives and similar repositories for FedRA
Users that are interested in FedRA are comparing it to the libraries listed below
Sorting:
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 4 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- ☆63Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated 2 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆12Updated last year
- ☆24Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆15Updated last year
- ☆31Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆45Updated 2 months ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆17Updated 2 months ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated last year
- Federated Learning - PyTorch☆15Updated 3 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆22Updated last year
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆36Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆88Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 6 months ago
- Simplified Implementation of FedPAC☆56Updated last year
- Latest Advances on Federated LLM Learning☆43Updated last month
- ☆12Updated 5 months ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆18Updated last year
- ☆13Updated 3 years ago
- Code for ScaleFL☆31Updated 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…☆57Updated 2 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Code Implementation and Informations about FedAS☆23Updated 3 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆54Updated last year
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆21Updated 6 months ago
- ☆32Updated last year