A benchmarking framework for decentralized optimization
-
Updated
Oct 28, 2026 - Python
A benchmarking framework for decentralized optimization
Executed GOSGD: A Distributed Deep Learning Algorithms for an Image Classification Task- Distributed Optimization and Learning(DOL) Course Project
[ICLR 2025] Official implementation of "Decentralized Optimization with Coupled Constraints"
This repository contains resources about my optional master semester research project performed with the Sycamore lab at EPFL. We studied mechanism design and preferential bayesian optimization for the maximization of unknown welfare functions.
Decentralized Fully Stochastic Primal-dual Gradient Algorithm (FSPDA)
Reference implementation of DEPOSITUM for decentralized nonconvex composite federated learning.
Live companion to the book “Building the Quanternet"
Decentralized ADMM for fastest mixing Markov chain design and exact consensus-ADMM projection onto graph-constrained doubly stochastic matrices
Code and reproduction package for 'Revisiting Decentralized Online Convex Optimization with Compressed Communication' (NeurIPS 2026; arXiv:2607.01665)
Decentralized gossip-based optimization (HDO) with FO/ZO hybrid nodes — reproduction on Year-MSD and CIFAR-10 plus four novelty extensions (variance-weighted merge, adaptive ZO budget, elite buffer, adaptive FO/ZO mixing)
To associate your repository with the decentralized-optimization topic, visit your repo's landing page and select "manage topics."