Alternatives and similar repositories for FL-optimal-client-sampling

Users that are interested in FL-optimal-client-sampling are comparing it to the libraries listed below

• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆34Updated 3 years ago
• cugzj / KT-pFL
  ☆33Updated 4 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆121Updated 5 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆44Updated 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".
  ☆61Updated 2 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆56Updated 3 months ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆157Updated 3 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆61Updated 2 years ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆70Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated 2 years ago
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆18Updated 6 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆74Updated 4 years ago
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆46Updated 2 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆53Updated 3 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated last year
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated 2 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆54Updated last year
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆166Updated 3 years ago
• alpemreacar / FedDyn
  ☆83Updated 4 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆63Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆90Updated 2 years ago
• Xtra-Computing / FedSim
  A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
  ☆28Updated 2 years ago
• NVlabs / FedFomo
  ☆43Updated 4 years ago
• AC-Amiya233 / FedRep
  ☆16Updated 4 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆175Updated 3 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆148Updated 3 years ago
• alpemreacar / PFL
  ☆23Updated 4 years ago