FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

machine-learning privacy computer-vision semi-supervised-learning transfer-learning wireless-communication distributed-optimization interpretability neural-architecture-search federated-learning continual-learning vertical-federated-learning non-iid decentralized-federated-learning hierarchical-federated-learning adversarial-attack-and-defense communication-efficiency straggler-problem computation-efficiency incentive-mechanism

• Updated Sep 3, 2022

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

machine-learning privacy data-privacy distributed-optimization meta-learning federated-learning federated-optimization differential-privacy-deep-learning federated-learning-framework non-iid decentralized-federated-learning communication-efficiency statistical-heterogeneity

• Updated Nov 16, 2025
• Shell

Federated Optimization in Heterogeneous Networks (MLSys '20)

large-scale-learning distributed-optimization parallel-learning federated-optimization

• Updated Mar 24, 2023
• Python

Fair Resource Allocation in Federated Learning (ICLR '20)

distributed-optimization federated-learning fairness-ml alpha-fairness

• Updated Dec 2, 2023
• Python

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

mpi pytorch distributed distributed-optimization federated-learning

• Updated Apr 11, 2025
• Python

Symbolic Continuous-Time Gaussian Belief Propagation Framework with Ceres Interoperability

python computer-vision cpp robotics code-generation slam sensor-fusion ceres-solver message-passing distributed-optimization eigen3 continuous-time gaussian-belief-propagation symforce

• Updated Nov 24, 2024
• C++

DISROPT: A Python framework for distributed optimization

python mpi optimization-algorithms distributed-optimization

• Updated Dec 12, 2023
• Python

Distributed Linear Programming Solver on top of Apache Spark

scala spark high-performance distributed-computing linear-programming distributed-optimization

• Updated Jan 4, 2021
• Scala

This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.

distributed-systems robotics slam distributed-optimization robust-estimation

• Updated Oct 31, 2022
• C++

A package for solving optimal power flow problems using distributed algorithms.

julia distributed-computing optimal-power-flow power-systems distributed-optimization

• Updated Jun 13, 2025
• Julia

Implementation of (overlap) local SGD in Pytorch

deep-learning pytorch distributed-optimization sgd-optimizer

• Updated Jul 12, 2020
• Python

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

distributed-optimization federated-learning

• Updated Mar 24, 2023
• Python

This repository contains code and resources for the simulation, algorithm development, and research of Distributed Cell-Free Integrated Sensing and Communication (ISAC) systems in wireless networks.

optimization signal-processing wireless-communications distributed-optimization admm-algorithm alternating-direction-method-of-multipliers cell-free-massive-mimo

• Updated Aug 19, 2025
• Python

Communication-efficient decentralized SGD (Pytorch)

deep-learning pytorch distributed-optimization distributed-training sgd-optimizer

• Updated Mar 17, 2020
• Python

Scalable, structured, dynamically-scheduled hyperparameter optimization.

machine-learning deep-learning hyperparameter-optimization distributed-optimization distributed-scheduling

• Updated Oct 13, 2022
• Python

A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.

black-box-optimization distributed-optimization meta-heuristics large-scale-optimization population-based-optimization distributed-evolutionary-algorithms parallel-evolutionary-algorithms distributed-evolution-strategies parallel-optimization distributed-evolutionary-computation parallel-evolutionary-computation distributed-swarm-intelligence nature-inspired-optimization

• Updated Feb 23, 2024
• Python

[TRO 2026] riMESA is a robust and incremental collaborative SLAM algorithm.

slam distributed-optimization c-slam

• Updated Jul 5, 2026
• C++

MATLAB implementation of the paper "Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders" [arXiv 2022].

multiagent-systems distributed-optimization networked-control-systems

• Updated Aug 9, 2022
• MATLAB

tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.

python distributed-optimization online-optimization time-varying-optimization

• Updated Apr 6, 2023
• Python

Sparse Convex Optimization Toolkit (SCOT)

minlp distributed-optimization distributed-learning sparse-optimization

• Updated Feb 5, 2024
• C++