Alternatives and similar repositories for LotteryEnsemble

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

• s-huu / Ditto
  ☆54Updated 4 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆47Updated 2 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• jiangyuang / ModelPruningLibrary
  ☆22Updated 4 years ago
• eth-sri / bayes-framework-leakage
  ☆10Updated 3 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆53Updated last year
• XinyiYS / Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…
  ☆24Updated 10 months ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated 9 months ago
• conditionWang / FLNK
  Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…
  ☆85Updated last year
• Xu-Jingyi / FedCorr
  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction
  ☆35Updated last year
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆26Updated 2 years ago
• 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"…
  ☆84Updated 5 years ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆31Updated 2 years ago
• alpemreacar / PFL
  ☆22Updated 4 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 2 years ago
• gdisag / gradient_disaggregation
  ☆15Updated last year
• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆50Updated 3 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 2 years ago
• epfml / federated-learning-public-code
  ☆160Updated 2 years ago
• mkhodak / FedEx
  ☆12Updated 4 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆18Updated 5 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆26Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆30Updated 2 years ago
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆42Updated 4 years ago
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• cuis15 / FCFL
  ☆20Updated 3 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆58Updated 2 years ago