seyoungahn / FedDifLinks
Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data" paper.
☆22Updated last year
Alternatives and similar repositories for FedDif
Users that are interested in FedDif are comparing it to the libraries listed below
Sorting:
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated last year
- ☆16Updated 2 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆17Updated last year
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆16Updated 3 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆14Updated last year
- Federated learning with model quantization☆16Updated 3 years ago
- ☆30Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- ☆30Updated last year
- ☆19Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆21Updated 7 months ago
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆17Updated last year
- ☆12Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆30Updated last year
- This repository implements FEDL using pytorch☆55Updated 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
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆45Updated 2 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆31Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 8 months ago
- ☆19Updated last year
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆43Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 7 months ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago