Alternatives and similar repositories for fedpa

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

• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆60Updated last year
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆26Updated 2 years ago
• epfml / ChocoSGD
  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
  ☆71Updated 4 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 2 years ago
• mkhodak / FedEx
  ☆12Updated 4 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆90Updated 4 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆96Updated last month
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆43Updated 3 years ago
• facebookresearch / where_to_begin
  Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
  ☆25Updated 2 years ago
• AnonymousNIPS2019 / DeepnetHessian
  The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size
  ☆17Updated 6 years ago
• kenziyuliu / pets-challenge
  ☆11Updated last year
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated last year
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• tudor-berariu / fisher-information-matrix
  PyTorch implementation of FIM and empirical FIM
  ☆61Updated 7 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆61Updated 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
• zibinpan / FedLF
  ☆15Updated 10 months ago
• google-research / dp-imagenet
  ☆37Updated 3 years ago
• hongliny / FedAc-NeurIPS20
  Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)
  ☆15Updated 4 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• imirzadeh / CL-Gym
  CL-Gym: Full-Featured PyTorch Library for Continual Learning
  ☆41Updated last year
• divyam3897 / ANP_VS
  Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"
  ☆15Updated 2 years ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆144Updated 6 years ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆65Updated 4 years ago
• eth-sri / bayes-framework-leakage
  ☆10Updated 3 years ago
• google-research / public-data-in-dpfl
  ☆23Updated 2 years ago
• andylamp / federated_pca
  Federated Principal Component Analysis Revisited!
  ☆43Updated 3 years ago