Alternatives and similar repositories for class_forgetting

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

• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆29Updated 2 years ago
• lianziqt / CFeD
  ☆22Updated 3 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆53Updated last year
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆26Updated 2 years ago
• TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
  Data-Free Knowledge Distillation
  ☆21Updated 3 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆41Updated 8 months ago
• sail-research / fed-unlearn
  An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)
  ☆17Updated last year
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆44Updated 2 years ago
• vrt1shjwlkr / AAAI21-MIA-Defense
  Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"
  ☆11Updated 4 years ago
• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆36Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• wyjeong / FedWeIT
  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
  ☆110Updated 4 years ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆30Updated 3 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆58Updated 2 years ago
• Sakshi09Ch / CoDeC
  [TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
  ☆12Updated last year
• meghdadk / SCRUB
  ☆44Updated 10 months ago
• eth-sri / bayes-framework-leakage
  ☆10Updated 3 years ago
• AntixK / FedDyn
  Federated Learning Based Dynamic Regularization
  ☆18Updated 4 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated 8 months ago
• BerivanIsik / sparse-random-networks
  Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…
  ☆29Updated 2 years ago
• conditionWang / FLNK
  Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…
  ☆85Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆71Updated last year
• shyam671 / Federated-Learning
  ☆21Updated 2 years ago
• zj-jayzhang / Federated-Class-Continual-Learning
  This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)
  ☆43Updated last year
• donglin-wang / LotteryEnsemble
  A repository for LotteryFL re-implementation and experiments
  ☆12Updated 4 years ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆93Updated last year
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• ayushkumartarun / zero-shot-unlearning
  Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security
  ☆41Updated 2 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆57Updated 5 years ago