Alternatives and similar repositories for FedNest:

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

• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆30Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• ZexiLee / ICCV-2023-FedETF
  The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…
  ☆26Updated last year
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆42Updated 2 years ago
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆42Updated 3 years ago
• cugzj / KT-pFL
  ☆34Updated 3 years ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆30Updated 2 years ago
• baowenxuan / FedCollab
  [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
  ☆18Updated last year
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆42Updated 2 years ago
• Xtra-Computing / FedSim
  A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
  ☆26Updated 2 years ago
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆42Updated 2 years ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆28Updated 2 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆17Updated last year
• LINs-lab / FedBR
  [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
  ☆25Updated last year
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated last year
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆68Updated 6 months ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆69Updated 2 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆21Updated last year
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆17Updated 5 years ago
• hui-po-wang / ProgFed
  [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
  ☆22Updated 2 years ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆32Updated last year
• fedl-repo / fedaux
  ☆30Updated 4 years ago
• Yujun-Shi / FedCLS
  [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…
  ☆40Updated 2 years ago
• AC-Amiya233 / FedRep
  ☆12Updated 3 years ago
• Lee-Gihun / FedSOL
  (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
  ☆12Updated 10 months ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆86Updated 2 years ago
• Xtra-Computing / FedOV
  Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)
  ☆17Updated last year
• lianziqt / CFeD
  ☆21Updated 3 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆54Updated last year