Alternatives and similar repositories for BFL-P

Users that are interested in BFL-P are comparing it to the libraries listed below

• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆57Updated 3 years ago
• vaseline555 / SuPerFed
  (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)
  ☆31Updated last year
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆56Updated 3 years ago
• layer6ai-labs / fair-dp
  Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".
  ☆11Updated 2 years ago
• jsmjie / FedBase
  An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.
  ☆17Updated 2 years ago
• slz-ai / leaf-torch
  Hey,this is a torch implementation of LEAF(a benchmark of FL)
  ☆23Updated 4 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆193Updated 10 months ago
• Klitter / A-Bayesian-Federated-Learning-Framework-with-Online-Laplace-Approximation
  ☆10Updated 4 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆79Updated 5 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆166Updated 3 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆40Updated 2 years ago
• aidecentralized / awesome-split-learning
  A curated repository for various papers in the domain of split learning.
  ☆55Updated last year
• tao-shen / FEMNIST_pytorch
  ☆22Updated 3 years ago
• SarodYatawatta / federated-pytorch-test
  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
  ☆42Updated last year
• felisat / federated-learning
  ☆96Updated 4 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆60Updated 2 years ago
• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆80Updated 3 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated 2 years ago
• vaseline555 / Federated-Learning-with-Flower
  Simple simulation of federated learning (FedAvg) using Flower framework
  ☆25Updated 4 years ago
• dawenzi098 / SFL-Structural-Federated-Learning
  IJCAI-Personalized Federated Learning with Graph
  ☆57Updated 2 years ago
• metastableB / kfed
  KFedExps -> kfed
  ☆14Updated 3 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆226Updated 5 years ago
• ycruan / FedSoft
  Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"
  ☆19Updated 3 years ago
• mania087 / HAR-Federated-Transfer-Learning-in-Pytorch
  This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset
  ☆27Updated last year
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆158Updated 3 years ago
• WonJoon-Yun / Non-IID-Dataset-Generator-Dirichlet
  ☆13Updated 4 years ago
• Zhaoxian-Wu / Byrd-SAGA
  Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
  ☆18Updated 5 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆121Updated 5 years ago
• NVlabs / FedFomo
  ☆43Updated 4 years ago