Alternatives and similar repositories for FedNew:

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

• Zhaoxian-Wu / IOS
  Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"
  ☆18Updated 9 months ago
• HongdaWu1226 / FedPNS
  ☆31Updated 2 years ago
• hjraad / FLT
  ☆23Updated last year
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• MondayCat / PLGA
  Asynchronous Federated Learning
  ☆18Updated 3 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆49Updated 7 months ago
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆34Updated 7 months ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• Qiyr0 / AsyncFedED
  Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
  ☆5Updated 2 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆38Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆28Updated 2 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆29Updated 2 years ago
• arodio / CA-Fed
  Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
  ☆28Updated 2 years ago
• Zhaoxian-Wu / Byrd-SAGA
  Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
  ☆18Updated 4 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆59Updated 3 years ago
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆16Updated 5 years ago
• kpdonahue / model_sharing_games
  Supporting code for https://arxiv.org/abs/2010.00753.
  ☆18Updated 3 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆109Updated 4 years ago
• sunjunaimer / LAQ
  Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
  ☆16Updated 4 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆45Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆59Updated 11 months ago
• ShenglongZhou / FedADMM
  This Matlab package solves federated learning problems via inexact ADMM
  ☆24Updated last month
• Liepill / RSA-Byzantine
  ☆25Updated 5 years ago
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆73Updated 4 years ago
• CharlieDinh / FEDL_pytorch
  This repository implements FEDL using pytorch
  ☆50Updated 4 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆20Updated last year
• HyperionZhou / CMFL
  CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
  ☆28Updated 5 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆34Updated last year
• ITSEG-MQ / Chain-PPFL
  Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC
  ☆30Updated 4 years ago