liboyue / Network-Distributed-AlgorithmLinks
Experiments for distributed optimization algorithms
☆77Updated 2 years ago
Alternatives and similar repositories for Network-Distributed-Algorithm
Users that are interested in Network-Distributed-Algorithm are comparing it to the libraries listed below
Sorting:
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆71Updated 4 years ago
- Benchmark for bi-level optimization solvers☆48Updated 3 months ago
- A generic optimization method for any integer programming problem☆92Updated 4 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Updated 4 years ago
- This Matlab package solves federated learning problems via inexact ADMM☆27Updated 8 months ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆20Updated last year
- This repo provide code for paper "FedCBO: Reaching Consensus in Clustered Federated Learning through Consensus-based Optimization".☆11Updated 2 years ago
- A collection of stochastic proximal gradient methods for composite non-convex problems.☆21Updated 5 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- Federated Primal-Dual Algorithm☆16Updated 4 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- Code for the signSGD paper☆90Updated 4 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Updated 3 years ago
- ☆11Updated 2 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆98Updated 4 months ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆60Updated 3 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆26Updated 4 years ago
- ☆10Updated last year
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆12Updated 3 years ago
- ☆36Updated 2 years ago
- Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab☆15Updated 3 years ago
- Federated Principal Component Analysis Revisited!☆43Updated 3 years ago
- [ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent☆19Updated last year
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago