Alternatives and similar repositories for KT-pFL

Users that are interested in KT-pFL are comparing it to the libraries listed below

• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated last year
• shangxinyi / CReFF-FL
  ☆52Updated 3 years ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆89Updated 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
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆59Updated 10 months ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆165Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated 2 years ago
• CGCL-codes / pFedSD
  The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".
  ☆29Updated 2 years ago
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆41Updated 2 years ago
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆46Updated 2 years ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 3 years ago
• yxdyc / pFedGate
  ☆28Updated 2 years ago
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆59Updated 2 years ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆68Updated 2 years ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆32Updated 2 years ago
• KarhouTam / pFedLA
  PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
  ☆92Updated 2 years ago
• FangXiuwen / Robust_FL
  ☆51Updated 10 months ago
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆43Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• wyjeong / FedWeIT
  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
  ☆114Updated 4 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆150Updated 3 years ago
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆41Updated 4 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆70Updated last year
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆142Updated last year
• zewei-long / fedcon-pytorch
  A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
  ☆22Updated 3 years ago
• fedl-repo / fedaux
  ☆30Updated 4 years ago
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆30Updated 2 years ago
• NVlabs / FedFomo
  ☆43Updated 3 years ago
• MediaBrain-SJTU / pFedGraph
  ☆35Updated 2 years ago