lunan0320 / Federated-Learning-Knowledge-DistillationLinks
repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.
☆27Updated 2 years ago
Alternatives and similar repositories for Federated-Learning-Knowledge-Distillation
Users that are interested in Federated-Learning-Knowledge-Distillation are comparing it to the libraries listed below
Sorting:
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Updated 11 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 3 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆33Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆27Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Updated 4 months ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆85Updated 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☆179Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆72Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- ☆46Updated 2 years ago
- ☆39Updated 2 years ago
- Releasing the source code Version1.☆179Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 5 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated 2 years ago
- ☆27Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆92Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 years ago