distributed-optimization

There are 0 repository under distributed-optimization topic.

chaoyanghe / Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
adversarial-attack-and-defense communication-efficiency computation-efficiency computer-vision continual-learning decentralized-federated-learning distributed-optimization federated-learning hierarchical-federated-learning incentive-mechanism interpretability machine-learning neural-architecture-search non-iid privacy semi-supervised-learning straggler-problem transfer-learning vertical-federated-learning wireless-communication
1883
weimingwill / awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
federated-learning machine-learning data-privacy communication-efficiency federated-optimization differential-privacy-deep-learning distributed-optimization federated-learning-framework privacy meta-learning decentralized-federated-learning statistical-heterogeneity non-iid
Language:Shell 647
litian96 / FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
parallel-learning distributed-optimization large-scale-learning federated-optimization
Language:Python 599
litian96 / fair_flearn
Fair Resource Allocation in Federated Learning (ICLR '20)
fairness-ml distributed-optimization federated-learning alpha-fairness
Language:Python 240
FedTorch
MLOPTPSU / FedTorch
FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
federated-learning distributed-optimization distributed pytorch mpi
Language:Python 175
ehsanmok / spark-lp
Distributed Linear Programming Solver on top of Apache Spark
spark linear-programming scala high-performance distributed-computing distributed-optimization
Language:Scala 74
OPT4SMART / disropt
DISROPT: A Python framework for distributed optimization
optimization-algorithms mpi python distributed-optimization
Language:Python 64
lajoiepy / robust_distributed_mapper
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.
slam distributed-optimization robotics robust-estimation distributed-systems
Language:C++ 57
JYWa / Overlap_Local_SGD
Implementation of (overlap) local SGD in Pytorch
deep-learning distributed-optimization pytorch sgd-optimizer
Language:Python 32
mkhraijah / PowerModelsADA.jl
A package for solving optimal power flow problems using distributed algorithms.
distributed-optimization julia power-systems distributed-computing optimal-power-flow
Language:Julia 26
litian96 / FedDANE
FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
distributed-optimization federated-learning
Language:Python 24
Evolutionary-Intelligence / dpop7
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
black-box-optimization distributed-evolution-strategies distributed-evolutionary-algorithms distributed-optimization large-scale-optimization parallel-evolutionary-algorithms parallel-optimization population-based-optimization distributed-evolutionary-computation distributed-swarm-intelligence parallel-evolutionary-computation meta-heuristics nature-inspired-optimization
Language:Python 20
jeffkinnison / shadho
Scalable, structured, dynamically-scheduled hyperparameter optimization.
machine-learning deep-learning hyperparameter-optimization distributed-optimization distributed-scheduling
Language:Python 19
JYWa / MATCHA
Communication-efficient decentralized SGD (Pytorch)
deep-learning distributed-optimization distributed-training pytorch sgd-optimizer
Language:Python 19
Alirezalm / scot
Sparse Convex Optimization Toolkit (SCOT)
distributed-learning distributed-optimization sparse-optimization minlp
Language:C++ 13
tvopt
nicola-bastianello / tvopt
tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
online-optimization time-varying-optimization distributed-optimization python
Language:Python 11
darknorth0 / distributed_consensus_containment
MATLAB implementation of the paper "Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders" [arXiv 2022].
distributed-optimization multiagent-systems networked-control-systems
Language:MATLAB 9
mmkamani7 / RI-SGD
Implementation of Redundancy Infused SGD for faster distributed SGD.
deep-learning distributed-optimization machine-learning optimization python redundancy sgd tensorflow
Language:Python 8
vineeths96 / Gradient-Compression
We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while maintaining the performance of vanilla SGD. We empirically evaluate the performance of the compression methods by training deep neural networks on the CIFAR10 dataset.
deep-learning distributed-optimization federated-learning gradient-compression large-scale machine-learning pytorch
Language:Python 8
rounak-meyur / revs-admm
Distributed approach of scheduling residential EV charging to maintain reliability of power distribution grids.
convex-optimization distributed-optimization distribution-systems electric-vehicles optimization power-systems residential-energy-consumptions
Language:Python 7
vineeths96 / Heterogeneous-Systems
We present an algorithm to dynamically adjust the data assigned for each worker at every epoch during the training in a heterogeneous cluster. We empirically evaluate the performance of the dynamic partitioning by training deep neural networks on the CIFAR10 dataset.
deep-learning distributed-optimization federated-learning heterogeneous-parallel-programming large-scale machine-learning pytorch
Language:Python 6
darknorth0 / online_distributed_OPF
MATLAB implementation of the paper "Online Distributed Optimal Power Flow with Equality Constraints" [arXiv 2022].
distributed-optimization online-learning-algorithms power-systems
Language:MATLAB 5
Ahmed-Bayoumy / DMDO
Distributed Multidisciplinary Design Optimization
admm augmented-lagrange-multipliers augmented-lagrangian-method distributed-optimization mdo multidisciplinary-design-optimization multidisciplinary-optimization alteranting-directions-method-of-multipliers distributed-multidisciplinary-design-optimization interdisciplinary-feasible mdo-architectures multidisciplinary-feasible
Language:Python 4
vineeths96 / Federated-Learning
We present UDP-based aggregation algorithms for federated learning. We also present a scalable framework for practical federated learning. We empirically evaluate the performance by training deep convolutional neural networks on the MNIST dataset and the CIFAR10 dataset.
deep-learning distributed-optimization edge-learning federated-learning large-scale machine-learning pytorch
Language:Python 3
mmkamani7 / LUPA-SGD
Implementation of Local Updates Periodic Averaging (LUPA) SGD
deep-learning distributed distributed-optimization local-sgd optimization python sgd tensorflow
Language:Python 2
naraharikr / master_thesis
Implementation of consensus algorithms using row-stochastic weights over directed graphs
delayed-networks directed-graphs distributed-optimization linear-convergence master-thesis multiagent-systems
Language:MATLAB 2
optopy
nicola-bastianello / optopy
optopy is a prototyping and benchmarking Python framework for optimization, both static and dynamic, centralized and distributed
optimization optimization-algorithms online-optimization convex-optimization distributed-optimization python
Language:Python 2
WilliamYi96 / EF-BV
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022
compression distributed-optimization error-feedback federated-learning variance-reduction
Language:Python 2
erfunmirzaei / FedAvg-FedProx
Implemented FedAvg & FedProx: Decentralized Optimization Algorithms for Neural Networks for an Image Classification Task- Distributed Optimization and Learning(DOL) Course Project
decentralized distributed-optimization federated-learning
Language:Jupyter Notebook 1
MuhammadAshiqAmeer / Federated-Learning-Intel-OpenFL
The repository focuses on conducting Federated Learning experiments using the Intel OpenFL framework with diverse machine learning models, utilizing image and tabular datasets, applicable different domains like medicine, banking etc.
collaborative-machine-learning custom-aggregation-function deep-learning distributed-learning distributed-optimization federated-learning horizontal-federated-learning image-classification intel-openfl machine-learning machine-learning-models privacy-enhancing-technologies privacy-preserving-machine-learning python tabular-data-analysis cross-silo-federated-learning federated-learning-algorithms federated-learning-research neuroblastoma medical-image-classification
Language:Jupyter Notebook 1
RandyChen233 / consensus_ADMM
Consensus-ADMM for multi-robot trajectory optimization.
consensus-algorithm distributed-optimization mpc-control trajectory-optimization
Language:Jupyter Notebook 1
ShahryarBQ / DSpodFL
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees
decentralized-federated-learning distributed-optimization federated-learning sporadic
Language:Python 1
shresthasagar / Federated-MaxVar-GCCA
Error feedback based quantization aided and convergence guaranteed Communication Efficient Federated Linear and Deep GCCA
federated-learning machine-learning distributed-optimization
Language:Jupyter Notebook 1
spencerkraisler / RCM-Consensus-Lie-Group
This repo is an implementation of the algorithm from the paper Consensus on Lie groups for the Riemannian Center of Mass. This algorithm computes the Riemannian center of mass of a set of points in a distributed manner, generalizing the Euclidean average consensus dynamics.
consensus-algorithm distributed-computing distributed-optimization riemannian-geometry
Language:MATLAB 1
DK-Zhu / BDPP-on-resource-allocation
Code for "A Distributed Buffering Drift-Plus-Penalty Algorithm for Coupling Constrained Optimization" (L-CSS, status: revise and resubmit)
constrained-optimization distributed-optimization
Language:Python 0
DK-Zhu / DUST-on-PEVs-charging
Code for ''Distributed Online Optimization with Coupled Inequality Constraints over Unbalanced Directed Networks'' (CDC 2023)
distributed-optimization online-optimization
Language:Python 0

distributed-optimization

chaoyanghe / Awesome-Federated-Learning

weimingwill / awesome-federated-learning

litian96 / FedProx

litian96 / fair_flearn

MLOPTPSU / FedTorch

ehsanmok / spark-lp

OPT4SMART / disropt

lajoiepy / robust_distributed_mapper

JYWa / Overlap_Local_SGD

mkhraijah / PowerModelsADA.jl

litian96 / FedDANE

Evolutionary-Intelligence / dpop7

jeffkinnison / shadho

JYWa / MATCHA

Alirezalm / scot

nicola-bastianello / tvopt

darknorth0 / distributed_consensus_containment

mmkamani7 / RI-SGD

vineeths96 / Gradient-Compression

rounak-meyur / revs-admm

vineeths96 / Heterogeneous-Systems

darknorth0 / online_distributed_OPF

Ahmed-Bayoumy / DMDO

vineeths96 / Federated-Learning

mmkamani7 / LUPA-SGD

naraharikr / master_thesis

nicola-bastianello / optopy

WilliamYi96 / EF-BV

erfunmirzaei / FedAvg-FedProx

MuhammadAshiqAmeer / Federated-Learning-Intel-OpenFL

RandyChen233 / consensus_ADMM

ShahryarBQ / DSpodFL

shresthasagar / Federated-MaxVar-GCCA

spencerkraisler / RCM-Consensus-Lie-Group

DK-Zhu / BDPP-on-resource-allocation

DK-Zhu / DUST-on-PEVs-charging