Found by comparing what the projects do, not just their names.
Federated Learning Library
An implementation of federated learning with sparse training and readjustment mechanisms to reduce communication overhead while maintaining model performance.
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Data Fusion Tool
This project enables federated learning across partially class-disjoint data with curated bilateral curation.
Federated Learning
This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets.
Federated Learning
Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data
Federated Learning Algorithm
This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence.
FL Framework
Provides a framework and theoretical foundation for Federated Reinforcement Learning with Byzantine Resilience in distributed systems
Federated Learning Framework
Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.
Federated learning algorithm
An implementation of Bayesian network structure learning with continuous optimization for federated learning.
Federated Learning Framework
A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Federated learner
An implementation of a federated learning algorithm for handling heterogeneous data
Federated learner
Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting.
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
Federated Learning Framework
An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.
Personalized FL framework
A federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models