FedSim

Model aggregator

An implementation of a federated learning algorithm that aggregates models based on similarities between them to improve overall performance in a distributed machine learning environment.

Similarity Guided Model Aggregation for Federated Learning

GitHub

22 stars
1 watching
0 forks
Language: Python
last commit: over 2 years ago
deep-learningfederated-learningmachine-learningprivacy-preserving-machine-learning

Related projects:

Repository Description Stars
shams-sam/fedoptim An open-source project exploring Federated Learning model updates and their rank structure using data from various datasets. 13
harliwu/fedamd This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. 2
tsingz0/fedala An implementation of a federated learning method for personalized models on non-iid datasets. 111
omarfoq/fedem Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. 154
federatedai/fate-client Provides tools and APIs for designing, scheduling, and running federated machine learning jobs in a secure and efficient manner. 3
wyjeong/fedmatch A project implementing Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning 79
ignavierng/notears-admm An implementation of Bayesian network structure learning with continuous optimization for federated learning. 10
thupchnsky/mufc An efficient method for federated clustering and its corresponding unlearning procedure to provably achieve accurate results 18
federatedai/fate-llm A framework for collaborative training of large language models in a privacy-preserving manner 160
alshedivat/fedpa A modular JAX implementation of federated learning via posterior averaging for decentralized optimization 49
dawenzi098/sfl-structural-federated-learning A Python implementation of Personalized Federated Learning with Graph using PyTorch. 50
xtra-computing/fedsim A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. 24
sjtu-yc/federated-submodel-averaging An implementation of federated submodel averaging (FedSubAvg) to enable collaborative learning across decentralized devices or users. 7
picnicml/doddle-model An in-memory machine learning library that provides an idiomatic Scala API for building and deploying machine learning models. 137
akhilmathurs/orchestra An open-source software framework for unsupervised federated learning via clustering and self-supervised learning. 53