illidanlab / SplitMixLinks
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
☆46Updated 2 years ago
Alternatives and similar repositories for SplitMix
Users that are interested in SplitMix are comparing it to the libraries listed below
Sorting:
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- ☆160Updated 2 years ago
- ☆54Updated 4 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 9 months ago
- ☆77Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 2 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆110Updated 4 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
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- Code for ScaleFL☆30Updated 2 years ago
- ☆40Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- ☆22Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 10 months ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆169Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆49Updated 3 years ago
- Benchmarking Semi-supervised Federated Learning☆51Updated 2 years ago
- ☆30Updated 4 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago