KarhouTam

FL-bench

Benchmark of federated learning. Dedicated to the community. 🤗

pFedLA

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning

SCAFFOLD-PyTorch

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Per-FedAvg

PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

Federated-Averaging-PyTorch

Implementation of FedAvg

FedRecon

PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning

Personalized-FedAvg

Implementation of Improving Federated Learning Personalization via Model Agnostic Meta Learning

cuda-kernels

Some common CUDA kernel implementations (Not the fastest).

KarhouTam

flower

Flower: A Friendly Federated Learning Framework

llm.c

LLM training in simple, raw C/CUDA

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.