kclip / DSVGD
Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
☆10Updated 4 years ago
Alternatives and similar repositories for DSVGD
Users that are interested in DSVGD are comparing it to the libraries listed below
Sorting:
- ☆9Updated 3 years ago
- This Matlab package solves federated learning problems via inexact ADMM☆26Updated 4 months ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆18Updated last year
- ☆10Updated last year
- ☆12Updated 4 years ago
- ☆23Updated last year
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆16Updated 3 years ago
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆13Updated 4 months ago
- ☆11Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated last year
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- Federated Primal-Dual Algorithm☆15Updated 4 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Updated 2 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆12Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated 2 years ago
- ☆17Updated 5 years ago
- Implementation of FedDR algorithm for federated learning.☆11Updated 3 years ago
- Federated Learning package☆21Updated 3 years ago
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Updated 2 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆17Updated 11 months ago
- ☆30Updated 3 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023, IEEE ICASSP 2023, IEEE ISIT 20…☆17Updated last year
- Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients☆16Updated 5 years ago