Alternatives and similar repositories for fedl2p:

Users that are interested in fedl2p are comparing it to the libraries listed below

• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆54Updated last year
• LINs-lab / FedBR
  [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
  ☆25Updated last year
• Lee-Gihun / FedSOL
  (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
  ☆12Updated 10 months 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
  ☆39Updated last year
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆44Updated 2 years ago
• mmendiet / FedAlign
  Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
  ☆60Updated 2 years ago
• jangsoohyuk / Robust-Federated-Learning-with-Noisy-Labels
  Code for 'Robust Federated Learning with Noisy Labels'
  ☆14Updated 3 years ago
• MMorafah / FL-SC-NIID
  Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
  ☆25Updated 2 years ago
• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆51Updated 3 years ago
• ycao5602 / KAFAL
  Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023
  ☆11Updated last year
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆28Updated 2 years ago
• xiyuanyang45 / FedAS
  Code Implementation and Informations about FedAS
  ☆22Updated 3 months ago
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆42Updated 2 years ago
• hukla / FedClassAvg
  ☆18Updated 2 years ago
• sjtudyq / FedConcat
  Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
  ☆14Updated last year
• yuhangchen0 / FedHEAL
  CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
  ☆20Updated 11 months ago
• zewei-long / fedcon-pytorch
  A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
  ☆20Updated 2 years ago
• SaraBabakN / MFCL-NeurIPS23
  ☆19Updated last year
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆57Updated 2 years ago
• imguangyu / FedCola
  Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)
  ☆14Updated 3 months ago
• Xu-Jingyi / FedCorr
  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction
  ☆36Updated last year
• vaseline555 / SuPerFed
  (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)
  ☆31Updated 9 months ago
• leondada / FedAPT
  ☆15Updated last year
• duygunuryldz / Federated_Orthogonal_Training
  ☆10Updated last year
• raymin0223 / LoGo
  Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)
  ☆33Updated last year
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆30Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆42Updated 3 years ago
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆49Updated 4 months ago