564612540 / FedPDLinks
Federated Primal-Dual Algorithm
☆15Updated 4 years ago
Alternatives and similar repositories for FedPD
Users that are interested in FedPD are comparing it to the libraries listed below
Sorting:
- This Matlab package solves federated learning problems via inexact ADMM☆26Updated 5 months ago
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆13Updated 5 months ago
- ☆17Updated 4 years ago
- ☆29Updated 2 years ago
- Implementation of FedDR algorithm for federated learning.☆12Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated last month
- ☆30Updated 3 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆18Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- ☆17Updated last year
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated 10 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆29Updated 4 years ago
- Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients☆16Updated 5 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- ☆94Updated 3 years ago
- ☆10Updated last year
- ☆77Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021☆10Updated 3 years ago