zlijingtao / Awesome-Split-LearningLinks
A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)
☆19Updated 3 years ago
Alternatives and similar repositories for Awesome-Split-Learning
Users that are interested in Awesome-Split-Learning are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96Updated 3 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated 2 years ago
- Releasing the source code Version1.☆177Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- Federated learning with model quantization☆16Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 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☆177Updated 2 years ago
- A summay of existing works on vertical federated/split learning☆15Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 3 years ago
- ☆33Updated 6 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆116Updated 4 years ago
- ☆96Updated 4 years ago
- Investigating Split Learning and Federate Learning☆87Updated 5 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- ☆16Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆65Updated last year
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 4 years ago
- ☆83Updated 4 years ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆42Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆50Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated last year
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 2 years ago
- A curated repository for various papers in the domain of split learning.☆54Updated last year