kclip / DSVGDLinks
Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
☆10Updated 5 years ago
Alternatives and similar repositories for DSVGD
Users that are interested in DSVGD are comparing it to the libraries listed below
Sorting:
- This Matlab package solves federated learning problems via inexact ADMM☆28Updated 11 months ago
- ☆10Updated last year
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Updated 3 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆17Updated 4 years ago
- ☆11Updated 3 years ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆20Updated last year
- Experiments for distributed optimization algorithms☆84Updated 2 years ago
- ☆24Updated 2 years ago
- Simulation code for Federated Learning with Over-the-Air Computation.☆11Updated 5 years ago
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆12Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Updated 2 years ago
- Federated Learning over Wireless Networks☆47Updated 4 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆14Updated 5 years ago
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆13Updated 11 months ago
- Federated Learning package☆21Updated 4 years 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
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 3 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆63Updated 3 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆29Updated 7 months ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆20Updated 2 years ago
- Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"☆29Updated 2 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Updated 3 years ago
- Federated learning with model quantization☆16Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- ☆10Updated 4 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 5 years ago