yuzhiyang123 / FL-BNNLinks
Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021
☆10Updated 4 years ago
Alternatives and similar repositories for FL-BNN
Users that are interested in FL-BNN are comparing it to the libraries listed below
Sorting:
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated 2 months ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆18Updated 2 years ago
- PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023, IEEE ICASSP 2023, IEEE ISIT 20…☆18Updated 3 weeks ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29Updated 2 years ago
- This Matlab package solves federated learning problems via inexact ADMM☆29Updated 11 months ago
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆11Updated last year
- ☆33Updated 2 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Updated 3 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆24Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆27Updated 2 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆29Updated 6 months ago
- ☆14Updated 2 years ago
- ☆16Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆33Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- ☆24Updated last year
- Simulation code for Federated Learning with Over-the-Air Computation.☆11Updated 5 years ago
- ☆10Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 4 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆16Updated 2 years ago
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆14Updated last year
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆23Updated 4 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 3 years ago
- ☆32Updated 3 years ago