Alternatives and similar repositories for Byrd-SAGA

Users that are interested in Byrd-SAGA are comparing it to the libraries listed below

• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 5 years ago
• MondayCat / PLGA
  Asynchronous Federated Learning
  ☆20Updated 4 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 3 years ago
• weichennone / FedMAX
  Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…
  ☆16Updated 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"…
  ☆86Updated 5 years ago
• FumiyukiKato / FL-attacks-papers
  A list of papers using/about Federated Learning especially malicious client and attacks.
  ☆12Updated 5 years ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆35Updated 4 years ago
• felisat / federated-learning
  ☆96Updated 4 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆20Updated 2 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• ITSEG-MQ / Chain-PPFL
  Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC
  ☆37Updated 5 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆70Updated 3 years ago
• SarodYatawatta / federated-pytorch-test
  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
  ☆42Updated last year
• papersdclub / Differentially_private_federated_learning
  Differentially Private Federated Learning: A Client Level Perspective
  ☆12Updated 6 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆23Updated 5 years ago
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated last year
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆78Updated 5 years ago
• MIA-FL / SP22
  Membership Inference Attack on Federated Learning
  ☆12Updated 3 years ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆46Updated 2 years ago
• anonymousgit2020 / fedsem
  ☆26Updated 5 years ago
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆30Updated 5 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆120Updated 5 years ago
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆38Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆74Updated 4 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆67Updated 4 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆52Updated 3 years ago