Alternatives and similar repositories for SplitLearning:

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

• aidecentralized / awesome-split-learning
  A curated repository for various papers in the domain of split learning.
  ☆45Updated 5 months ago
• bt-s / Split-Learning-and-Federated-Learning
  Investigating Split Learning and Federate Learning
  ☆77Updated 4 years ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆40Updated 2 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆139Updated 3 years ago
• arodio / CA-Fed
  Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
  ☆28Updated 2 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆75Updated 2 years ago
• liecn / PyramidFL
  [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…
  ☆69Updated 2 years ago
• HongdaWu1226 / FedPNS
  ☆31Updated 2 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…
  ☆22Updated 3 years ago
• seyoungahn / FedDif
  Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…
  ☆20Updated 10 months ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆47Updated last year
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆42Updated last year
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆117Updated 4 years ago
• HyperionZhou / CMFL
  CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
  ☆28Updated 5 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆26Updated 2 years ago
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆40Updated last year
• Minki-Kim95 / Federated-Learning-and-Split-Learning-with-raspberry-pi
  SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
  ☆105Updated 3 years ago
• hjraad / FLT
  ☆23Updated last year
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆24Updated 2 years ago
• felisat / federated-learning
  ☆93Updated 3 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆59Updated last year
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆34Updated last year
• diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
  [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
  ☆157Updated last year
• jiangyuang / PruneFL
  This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".
  ☆82Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆109Updated 4 years ago
• charleslipku / LotteryFL
  LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…
  ☆41Updated 2 years ago
• TsingZ0 / FL-IoT
  This is a platform containing the datasets and federated learning algorithms in IoT environments.
  ☆60Updated last month
• AdamWei-boop / Federated-Learning-with-Model-Quantization
  Federated learning with model quantization
  ☆14Updated 3 years ago
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆62Updated 5 months ago
• ShayanTalaei / QuAFL
  The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"
  ☆18Updated last year