smduan / Fed-TDA
The implementation of our paper Fed-TDA
☆14Updated 2 years ago
Alternatives and similar repositories for Fed-TDA:
Users that are interested in Fed-TDA are comparing it to the libraries listed below
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆13Updated 8 months ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- Official Code for PACFL AAAI 2023☆41Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆68Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆22Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆28Updated last year
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆15Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 4 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆80Updated 2 years ago
- FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms☆18Updated 3 weeks ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆37Updated last year
- ☆18Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- This repository includes the official project of SplitAVG, from our paper "SplitAVG: A heterogeneity-aware federated deep learning method…☆21Updated last year
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆61Updated 3 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆15Updated last year
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆39Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆18Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆18Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆55Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆27Updated 2 years ago