federated-optimization

Here are 7 public repositories matching this topic...

weimingwill / awesome-federated-learning

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

litian96 / FedProx

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Federated Optimization in Heterogeneous Networks (MLSys '20)

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

Updated Mar 24, 2023
Python

team-decent / decent-bench

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A benchmarking framework for decentralized optimization

benchmarking benchmark-framework optimization-algorithms distributed-optimization federated-learning distributed-learning federated-optimization federated-learning-framework decentralized-optimization

Updated Sep 2, 2026
Python

Fatemerjn / Federated_Deep_Generative_Model

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This repository explores federated deep generative models with PyTorch, featuring Conditional DCGAN, FedGAN v2, and custom synchronization strategies. It demonstrates client-server training with FedAvg, non-IID data splits, and GAN evaluation, providing a foundation for research in privacy-preserving generative modeling.

transformers pytorch differential-privacy edge-computing distributed-training federated-learning deep-generative-models federated-optimization privacy-preserving-ml diffusion-models secure-aggregation federated-gan non-iid-data federated-vae ml-reproducibility

Updated Oct 14, 2025
Jupyter Notebook

smshagor-dev / Federated-Learning-on-Non-IID-Data-Differential-Privacy

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Privacy-aware federated learning research platform for Non-IID data, FedAvg, FedProx, SCAFFOLD, client-level differential privacy, RDP accounting, and reproducible experiments.

machine-learning deep-learning scaffold pytorch differential-privacy federated-learning privacy-preserving-machine-learning federated-optimization fedavg fedprox fedproxvr fedavgm non-iid-data

Updated Aug 26, 2026
Python

t-alanazi / FedBand

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Official implementation of "FedBand: Adaptive Federated Learning Under Strict Bandwidth Constraints"

compression deep-learning pytorch adaptive federated-learning federated-optimization federated-learning-research communication-efficient-fl bandwidth-constraints sparse-updates icccn-2025 federated-compression

Updated Nov 26, 2025
Python

GVourvachakis / RDP_FedADMM

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Privacy-preserving Federated ADMM with Rényi Differential Privacy, elastic weighted aggregation, and a statistical framework for non-IID data synthesis. Built on NumPy and sockets.

lasso admm elastic-net differential-privacy distributed-optimization federated-learning privacy-preserving-machine-learning federated-optimization non-iid-client-heterogeneity

Updated Feb 15, 2026
Python

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