FedRBN

Similar projects

Found by comparing what the projects do, not just their names.

• illidanlab/foster18

  Federated OoD Synthesis

  This project develops an approach to improve out-of-distribution detection in federated learning by leveraging data heterogeneity

• illidanlab/splitmix40

  Federated learning optimizer

  An algorithm for distributed learning with flexible model customization during training and testing

• harliwu/fedamd2

  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.

• pengyang7881187/fedrl56

  Federated Learning

  Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data

• fangxiuwen/robust_fl43

  Federated Learning Framework

  An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.

• zfancy/sfat28

  Heterogeneity fixer

  Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation

• yamingguo98/fediir10

  Federated Learner

  An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships

• lyn1874/fedpvr6

  Federated learner

  An implementation of a federated learning algorithm for handling heterogeneous data

• idanachituve/pfedgp32

  Federated Learning Library

  An implementation of Personalized Federated Learning with Gaussian Processes using Python.

• yflyl613/fedrec21

  Attack defense

  A PyTorch implementation of an attack and defense mechanism against Federated Recommendation Systems

• litian96/fair_flearn244

  Fair learning algorithm

  This project develops and evaluates algorithms for fair resource allocation in federated learning, aiming to promote more inclusive AI systems.

• zhenqincn/fedapen12

  Federated Learning Engine

  An implementation of cross-silo federated learning with adaptability to statistical heterogeneity

• tmlr-group/fedfed17

  Feature sharing

  An approach to mitigating data heterogeneity in federated learning by sharing partial features of the data.

• ai-secure/crfl71

  Federated Learning Framework

  This project presents a framework for robust federated learning against backdoor attacks.

• hendrycks/robustness1K

  Model robustness testing

  Evaluates and benchmarks the robustness of deep learning models to various corruptions and perturbations in computer vision tasks.