Alternatives and similar repositories for federated_pca

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

• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated last year
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 2 years ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆144Updated 6 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated 2 years ago
• desternylin / perfed
  ☆16Updated last year
• DPBayes / ADADP
  Learning rate adaptation for differentially private stochastic gradient descent
  ☆17Updated 4 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆26Updated 2 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆46Updated 6 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago
• SarodYatawatta / federated-pytorch-test
  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
  ☆42Updated last year
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆59Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆40Updated 2 years ago
• Zhaoxian-Wu / Byrd-SAGA
  Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
  ☆18Updated 4 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• labRadioVision / federated
  Federated Learning package
  ☆21Updated 4 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆19Updated 2 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆151Updated 3 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
• omarfoq / communication-in-cross-silo-fl
  Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)
  ☆32Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• SamuelHorvath / Compressed_SGD_PyTorch
  Implementation of Compressed SGD with Compressed Gradients in Pytorch
  ☆13Updated last year
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆109Updated 2 years ago
• balanced-fl / Addressing-Class-Imbalance-FL
  This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
  ☆86Updated 3 years ago
• dual-grp / FedU_FMTL
  ☆17Updated 4 years ago