MediaBrain-SJTU / FedDiscoLinks
☆72Updated last year
Alternatives and similar repositories for FedDisco
Users that are interested in FedDisco are comparing it to the libraries listed below
Sorting:
- ☆404Updated 7 months ago
- ☆102Updated 11 months ago
- ☆32Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆31Updated last year
- Simplified Implementation of FedPAC☆59Updated last year
- Latest Advances on Federated LLM Learning☆51Updated last week
- FedD3: Federated Learning via Decentralized Dataset Distillation☆30Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆156Updated 3 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 2 years ago
- ☆50Updated 6 months ago
- ☆30Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆62Updated 4 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- Code and data accompanying the FedGen paper☆251Updated 8 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆136Updated 8 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆177Updated last month
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆111Updated 6 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 10 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 6 months ago
- ☆77Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 8 months ago
- ☆49Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆96Updated last month
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆122Updated last month