Alternatives and similar repositories for FedBN

Users that are interested in FedBN are comparing it to the libraries listed below

• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆237Updated 10 months ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆213Updated 4 years ago
• AvivSham / pFedHN
  Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
  ☆188Updated 2 years ago
• zhuangdizhu / FedGen
  Code and data accompanying the FedGen paper
  ☆252Updated 7 months ago
• CharlieDinh / pFedMe
  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
  ☆296Updated 3 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆162Updated 2 years ago
• QinbinLi / MOON
  Model-Contrastive Federated Learning (CVPR 2021)
  ☆280Updated 2 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆191Updated last month
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆267Updated 2 years ago
• epfml / federated-learning-public-code
  ☆158Updated 2 years ago
• lxcnju / FedRepo
  ☆175Updated 2 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆144Updated 3 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆85Updated 3 years ago
• IBM / FedMA
  Code for Federated Learning with Matched Averaging, ICLR 2020.
  ☆338Updated 3 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆153Updated 3 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆135Updated 6 months ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆154Updated 4 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆175Updated 4 years ago
• microsoft / PersonalizedFL
  Personalized federated learning codebase for research
  ☆388Updated last year
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆86Updated 2 years ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• FederatedAI / research
  ☆175Updated 7 months ago
• alpemreacar / FedDyn
  ☆77Updated 3 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆83Updated 10 months ago
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆597Updated last year
• jeremy313 / non-iid-dataset-for-personalized-federated-learning
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆83Updated 5 years ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆70Updated 2 years ago
• Liangqiong / ViT-FL-main
  ☆111Updated 2 years ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆143Updated 6 years ago
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆74Updated 4 years ago