Alternatives and similar repositories for machine-learning-diff-private-federated-learning:

Users that are interested in machine-learning-diff-private-federated-learning are comparing it to the libraries listed below

• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆291Updated last year
• roxanneluo / Federated-Learning
  ☆167Updated 7 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆217Updated last year
• litian96 / fair_flearn
  Fair Resource Allocation in Federated Learning (ICLR '20)
  ☆245Updated last year
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆157Updated 11 months ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆257Updated 2 years ago
• litian96 / FedProx
  Federated Optimization in Heterogeneous Networks (MLSys '20)
  ☆660Updated last year
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆284Updated 5 months ago
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆230Updated 5 months ago
• CharlieDinh / pFedMe
  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
  ☆293Updated 2 years ago
• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆359Updated 2 months ago
• IBM / FedMA
  Code for Federated Learning with Matched Averaging, ICLR 2020.
  ☆333Updated 3 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆162Updated 3 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆147Updated 2 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆132Updated 3 years ago
• tushar-semwal / awesome-federated-computing
  A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
  ☆470Updated last year
• TalwalkarLab / leaf
  Leaf: A Benchmark for Federated Settings
  ☆862Updated last year
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆150Updated 3 years ago
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆576Updated 10 months ago
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆698Updated 5 months ago
• FederatedAI / research
  ☆168Updated 2 months ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆182Updated 3 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆96Updated 10 months ago
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆175Updated 3 years ago
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆237Updated 4 years ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆184Updated 2 years ago
• poga / awesome-federated-learning
  resources about federated learning and privacy in machine learning
  ☆527Updated 6 months ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆139Updated 2 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆158Updated 2 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆207Updated 4 years ago