Alternatives and similar repositories for ModelPruningLibrary

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

• charleslipku / LotteryFL
  LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…
  ☆41Updated 2 years ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆30Updated 3 years ago
• jiangyuang / PruneFL
  This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".
  ☆91Updated 3 years ago
• sxontheway / BalanceFL
  Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".
  ☆22Updated 2 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆31Updated 2 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆44Updated 2 years ago
• omarfoq / communication-in-cross-silo-fl
  Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)
  ☆30Updated 2 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• AdamWei-boop / Federated-Learning-with-Model-Quantization
  Federated learning with model quantization
  ☆16Updated 3 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆85Updated 3 years ago
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆59Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• scottjiao / Gradient-Compression-Methods
  ☆33Updated 5 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆79Updated 2 years ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆45Updated 3 years ago
• git-disl / scale-fl
  Code for ScaleFL
  ☆30Updated 2 years ago
• 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
• hjraad / FLT
  ☆23Updated last year
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆62Updated 9 months ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆28Updated last month
• VeritasXu / Ternary-Federated
  demo
  ☆19Updated 3 years ago
• HongdaWu1226 / FedPNS
  ☆30Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• BerivanIsik / sparse-random-networks
  Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…
  ☆29Updated 2 years ago
• fedl-repo / fedaux
  ☆30Updated 4 years ago
• yusx-swapp / SPATL
  SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning
  ☆24Updated 2 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆35Updated 5 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated 8 months ago
• guobbin / PFL-MoE
  Federated Learning - PyTorch
  ☆14Updated 3 years ago