xmouyang / HarmonyLinks
Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".
☆30Updated last year
Alternatives and similar repositories for Harmony
Users that are interested in Harmony are comparing it to the libraries listed below
Sorting:
- [KDD 2023] FedMultimodal☆121Updated 5 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆165Updated 3 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆121Updated 10 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆142Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years 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"☆89Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆165Updated 10 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space☆22Updated 7 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆68Updated last year
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆18Updated 3 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆137Updated last week
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 10 months ago
- ☆182Updated 2 years ago
- Personalized federated learning codebase for research☆404Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- Code and data accompanying the FedGen paper☆254Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆208Updated 2 months ago
- ☆161Updated 2 years ago
- FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms☆18Updated 8 months ago
- fully ready experiments☆39Updated 3 years ago
- ☆51Updated 10 months ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- Code Implementation and Informations about FedAS☆32Updated 9 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆63Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆88Updated last year
- Latest Advances on Federated LLM Learning☆76Updated 4 months ago