78 skills found · Page 1 of 3
vaseline555 / Federated Learning In PyTorchHandy PyTorch implementation of Federated Learning (for your painless research)
lx10077 / FedavgpyOn the Convergence of FedAvg on Non-IID Data
WHDY / FedAvgImplement FedAvg algorithm based on Tensorflow
pliang279 / LG FedAvg[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
JYWa / FedNovaPyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
lishenghui / Blades⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
heroding77 / Fedavg EncryptFedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential privacy and Gaussian mechanism differential privacy.
yjlee22 / FedSharePyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
katsura-jp / Fedavg.pytorchA PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
Lee-Gihun / FedNTD(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
kt4ngw / Fedavg PytorchThe implementation of FedAvg based on pytorch.
c-gabri / Federated Learning PyTorchPyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are provided
ki-ljl / Per FedAvgPyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
tanyuqian / RedcoNAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
orion-orion / FedAO🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.
ramshi236 / Accelerated Federated Learning Over MAC In Heterogeneous NetworksSCAFFOLD and FedAvg implementation
KarhouTam / Per FedAvgPyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
morningD / FlexCFLFlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
Krishna18062005 / Heart Disease Prediction Using Federated Learning AlgorithmsThe Heart Disease Prediction Using Federated Learning Algorithms project predicts heart disease using federated learning to maintain data privacy. It trains a global model using the FedAvg algorithm, sharing only model updates across clients. Built with TensorFlow and Keras, it ensures secure and decentralized training for healthcare applications
ki-ljl / FedAvg Numpy Pytorch TffThree implementations of FedAvg: numpy, pytorch and tensorflow federated.
