Chung-ju / Federated-learning-papersLinks
Papers related to federated learning in top conferences (2020-2024).
☆69Updated 9 months ago
Alternatives and similar repositories for Federated-learning-papers
Users that are interested in Federated-learning-papers are comparing it to the libraries listed below
Sorting:
- ☆160Updated 2 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- ☆77Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 11 months ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- ☆64Updated 2 years ago
- ☆30Updated 4 years ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆97Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- ☆54Updated 4 years ago
- ☆34Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- ☆40Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 9 months ago
- ☆51Updated 7 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆121Updated last month
- A curated repository for various papers in the domain of split learning.☆54Updated 11 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago