Alternatives and similar repositories for CENTAUR-Privacy-Federated-Representation-Learning

Users that are interested in CENTAUR-Privacy-Federated-Representation-Learning are comparing it to the libraries listed below

• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆46Updated 2 years ago
• JunyiZhu-AI / surrogate_model_extension
  Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]
  ☆14Updated last year
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆41Updated 4 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated 2 years ago
• MMorafah / FL-SC-NIID
  Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
  ☆26Updated 3 years ago
• cugzj / KT-pFL
  ☆33Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆44Updated 2 years ago
• baolongnguyenmac / fl-ml
  This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
  ☆30Updated 2 years ago
• TsingZ0 / FedCP
  KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
  ☆31Updated 11 months ago
• zlijingtao / ResSFL
  Official Repository for ResSFL (accepted by CVPR '22)
  ☆25Updated 3 years ago
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆59Updated 11 months ago
• zewei-long / fedcon-pytorch
  A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
  ☆22Updated 3 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
  ☆42Updated 2 years ago
• yankang18 / FedBCD
  The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…
  ☆14Updated last year
• yuhangchen0 / FedHEAL
  CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
  ☆26Updated last year
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆60Updated 11 months ago
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 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
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆43Updated 4 years ago
• Lee-Gihun / FedSOL
  (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
  ☆13Updated last year
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 3 years ago
• sjtudyq / FedConcat
  Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
  ☆14Updated last year
• 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
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆61Updated 3 years ago
• LINs-lab / FedBR
  [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
  ☆27Updated last year
• PhD-TaoLiu / FCBA
  The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".
  ☆21Updated last year
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆54Updated last month