Alternatives and similar repositories for FedTabDiff

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

• muz1lee / MOTdata
  Implementation of FedBary
  ☆15Updated 5 months 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
• sattarov / FinDiff
  Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
  ☆31Updated last year
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated last year
• zibinpan / FedMDFG
  ☆19Updated last year
• watml / Fed-MGDA
  ☆29Updated 3 years ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 2 years ago
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆30Updated 2 years ago
• Sungwon-Han / FEDX
  ☆73Updated 3 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 2 months ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆121Updated 2 years ago
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆43Updated 3 years ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆101Updated last week
• JerryLife / FedOnce
  Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)
  ☆21Updated 3 years ago
• meghdadk / SCRUB
  ☆46Updated last year
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆41Updated 2 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆22Updated last year
• dual-grp / FedU_FMTL
  ☆17Updated 4 years ago
• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆57Updated 3 years ago
• wyjeong / FedMatch
  This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…
  ☆79Updated 3 years ago
• gianlucatruda / TableDiffusion
  The first differentially-private diffusion model for tabular data
  ☆29Updated last year
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆39Updated 2 years ago
• layer6ai-labs / fair-dp
  Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".
  ☆10Updated 2 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆58Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆54Updated last year
• nv-tlabs / DPDM
  Differentially Private Diffusion Models
  ☆101Updated last year
• andylamp / federated_pca
  Federated Principal Component Analysis Revisited!
  ☆43Updated 3 years ago
• nv-tlabs / DP-Sinkhorn_code
  ☆12Updated 3 years ago