Alternatives and similar repositories for shapfed

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

• wizard1203 / GossipFL
  ☆21Updated 2 years ago
• makgyver / gossipy
  Python module for simulating gossip learning.
  ☆41Updated last year
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆313Updated 2 years ago
• kenziyuliu / private-cross-silo-fl
  [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"
  ☆27Updated 2 years ago
• ZJU-DIVER / ShapleyFL-Robust-Federated-Learning-Based-on-Shapley-Value
  ☆25Updated 2 years ago
• warisgill / TraceFL
  TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…
  ☆10Updated 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
  ☆177Updated 2 years ago
• MMorafah / FedZoo-Bench
  FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms
  ☆18Updated 9 months ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆165Updated 3 years ago
• layer6ai-labs / ProxyFL
  Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"
  ☆84Updated 2 years ago
• 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
  ☆115Updated 4 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated 2 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆122Updated 3 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆143Updated last year
• FederatedML / FedCompress
  Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation
  ☆22Updated last year
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆49Updated last year
• aidecentralized / awesome-split-learning
  A curated repository for various papers in the domain of split learning.
  ☆54Updated last year
• Heasung-Kim / clustered-federated-learning-via-gradient-based-partitioning
  Clustered Federated Learning via Gradient-based Partitioning (ICML 2024)
  ☆12Updated 6 months ago
• eceisik / ARFED
  Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
  ☆24Updated 2 years ago
• HAIRLAB / DeceFL
  DeceFL: A Principled Decentralized Federated Learning Framework
  ☆28Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆181Updated 4 years ago
• taoqi98 / PrivateKT
  Codes of PrivateKT
  ☆13Updated 2 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 3 years ago
• VeritasXu / Ternary-Federated
  demo
  ☆20Updated 4 years ago
• p2pfl / p2pfl
  P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, maki…
  ☆138Updated last month
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆70Updated 3 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆153Updated 3 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆34Updated 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,…
  ☆64Updated last year
• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆79Updated 3 years ago