Alternatives and similar repositories for peer-nnet

Users that are interested in peer-nnet are comparing it to the libraries listed below

• wizard1203 / GossipFL
  ☆20Updated last year
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆39Updated 2 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆39Updated 2 years ago
• drmhrehman / trustfed
  This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisonin…
  ☆12Updated 3 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆39Updated 3 years ago
• aayushdewangan11 / Blockchain_Enabled_Federated_learning
  A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…
  ☆23Updated 2 years ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆29Updated 2 years ago
• yuxuan18 / fedAsync
  simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
  ☆23Updated 3 years ago
• MondayCat / PLGA
  Asynchronous Federated Learning
  ☆20Updated 4 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆177Updated 4 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆82Updated 3 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 2 years ago
• HAIRLAB / DeceFL
  DeceFL: A Principled Decentralized Federated Learning Framework
  ☆28Updated 2 years ago
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆34Updated 4 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆87Updated last year
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆41Updated 3 years ago
• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆77Updated 3 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆119Updated 5 years ago
• zhongjian-zhang / FederalLearning
  通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …
  ☆39Updated 3 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆25Updated 3 years ago
• ycruan / FedSoft
  Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"
  ☆17Updated 3 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated 2 years ago
• morningD / FlexCFL
  FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
  ☆51Updated 2 years ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆56Updated 2 years ago
• 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
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆69Updated 3 years ago
• upcbdipt / CDW_FedAvg
  The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"
  ☆33Updated 4 years ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆49Updated 2 years ago
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆44Updated 3 years ago