EricLoong / feddip
The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'
☆11Updated 7 months ago
Alternatives and similar repositories for feddip:
Users that are interested in feddip are comparing it to the libraries listed below
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- Code for Personalized Federated Learning with Gaussian Processes☆32Updated 3 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆33Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- ☆40Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 8 months ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆28Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Official Code for PACFL AAAI 2023☆41Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated last year
- Federated Bilevel Optimization☆16Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- ☆16Updated 4 years ago
- PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning☆13Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- Implementation of Improving Federated Learning Personalization via Model Agnostic Meta Learning☆9Updated 3 years ago