Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)
☆21Feb 4, 2025Updated last year
Alternatives and similar repositories for FedCola
Users that are interested in FedCola are comparing it to the libraries listed below
Sorting:
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆65Jan 21, 2024Updated 2 years ago
- Federated Learning in CVPR2024☆20Jun 6, 2024Updated last year
- Official Implementation of paper "Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast"☆24Oct 22, 2024Updated last year
- A federated image segmentation method based on style transfer☆16Sep 28, 2024Updated last year
- [KDD 2023] FedMultimodal: A Benchmark For Multimodal Federated Learning☆138May 24, 2025Updated 9 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆77Jul 31, 2024Updated last year
- Implementation of the ICLR 2025 paper "Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models"☆26Apr 2, 2025Updated 11 months ago
- Multimodal Federated Learning on IoT Data☆11Dec 17, 2023Updated 2 years ago
- ☆10May 22, 2023Updated 2 years ago
- Code for ijcai-24 paper "Federated Adaptation for Foundation Model-based Recommendations"☆12Apr 18, 2025Updated 10 months ago
- (NeurIPS 2024) One-shot Federated Learning via Synthetic Distiller-Distillate Communication☆18Mar 11, 2025Updated 11 months ago
- This repository contains the source code for our MICCAI 2024 paper titled 'CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal …☆24Oct 1, 2024Updated last year
- ☆14Oct 12, 2024Updated last year
- ☆12Sep 30, 2024Updated last year
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Sep 4, 2023Updated 2 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- Code for the MICCAI 2024 Paper: "FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging"☆13Jul 6, 2024Updated last year
- ☆27Feb 26, 2023Updated 3 years ago
- A Survey on Vulnerability of Federated Learning: An Algorithm Perspective☆18May 30, 2024Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆66Mar 12, 2025Updated 11 months ago
- ☆37Feb 8, 2026Updated 3 weeks ago
- [MICCAI2024] "FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation". A framework for fine-tuning SAM (Segment Any…☆68Feb 16, 2025Updated last year
- ☆34Nov 8, 2023Updated 2 years ago
- Federated Learning - PyTorch☆15Jun 27, 2021Updated 4 years ago
- ☆14Jan 16, 2024Updated 2 years ago
- ☆18Jul 13, 2025Updated 7 months ago
- Federated Transformer (NeurIPS 24): a framework to enhance the performance of multi-party Vertical Federated Learning involving fuzzy ide…☆42Dec 14, 2024Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 2, 2023Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆128Dec 20, 2024Updated last year
- MICCAI2023. "One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation"☆19Jan 24, 2024Updated 2 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆21Dec 25, 2023Updated 2 years ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆51Apr 3, 2024Updated last year
- ☆25Dec 15, 2024Updated last year
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆24Jun 6, 2024Updated last year
- ☆18Oct 12, 2023Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆26Apr 28, 2024Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Feb 9, 2023Updated 3 years ago
- ☆32Nov 11, 2025Updated 3 months ago