usc-sail / fed-multimodalLinks
[KDD 2023] FedMultimodal
☆111Updated 3 months ago
Alternatives and similar repositories for fed-multimodal
Users that are interested in fed-multimodal are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆110Updated 8 months ago
- Simplified Implementation of FedPAC☆60Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆58Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆159Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆55Updated 8 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆55Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 9 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆123Updated 2 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆287Updated 3 years ago
- ☆51Updated 7 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆38Updated 2 years ago
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".☆30Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Updated 2 years ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆97Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆154Updated 8 months ago
- ☆52Updated 3 years ago
- Code and data accompanying the FedGen paper☆251Updated 9 months ago
- ☆33Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆185Updated 3 weeks ago
- ☆21Updated last year
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆60Updated last year
- Personalized federated learning codebase for research☆392Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 10 months ago
- ☆162Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago