Alternatives and similar repositories for FedNew

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

• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆17Updated 4 years ago
• hjraad / FLT
  ☆23Updated last year
• HongdaWu1226 / FedPNS
  ☆30Updated 3 years ago
• Zhaoxian-Wu / Byrd-SAGA
  Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
  ☆18Updated 4 years ago
• kpdonahue / model_sharing_games
  Supporting code for https://arxiv.org/abs/2010.00753.
  ☆19Updated 3 years ago
• zibinpan / FedMDFG
  ☆18Updated last year
• nobody910 / asynchronous-federated-learning
  This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"
  ☆11Updated 3 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆40Updated 2 years ago
• arodio / CA-Fed
  Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
  ☆28Updated 2 years ago
• sunjunaimer / LAQ
  Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
  ☆16Updated 5 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆30Updated 2 years ago
• MondayCat / PLGA
  Asynchronous Federated Learning
  ☆19Updated 3 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆28Updated last month
• AdamWei-boop / Federated-Learning-with-Model-Quantization
  Federated learning with model quantization
  ☆16Updated 3 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆79Updated 2 years ago
• Qiyr0 / AsyncFedED
  Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
  ☆6Updated 3 years ago
• FederatedML / FedCompress
  Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation
  ☆17Updated last year
• dual-grp / FedU_FMTL
  ☆17Updated 4 years ago
• AmanPriyanshu / FedPAQ-MNIST-implemenation
  An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…
  ☆21Updated 4 years 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 …
  ☆35Updated last year
• ramshi236 / Multi-Armed-Bandit-Based-Client-Scheduling-for-Federated-Learning
  Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning
  ☆16Updated 4 years ago
• lyl617 / AAFL
  ☆11Updated 4 years ago
• pringlesinghal / GreedyFed
  Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
  ☆17Updated last year
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆52Updated last year
• Asrua / Hierarchical-Federated-Learning-PyTorch
  ☆17Updated 2 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆21Updated last year
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆38Updated 2 years ago
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆41Updated 3 years ago