mukul-rathi / personalised-federated-learningLinks
Principles of ML Systems Project
☆26Updated 4 years ago
Alternatives and similar repositories for personalised-federated-learning
Users that are interested in personalised-federated-learning are comparing it to the libraries listed below
Sorting:
- ☆54Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆111Updated 4 years ago
- Experiments on MNIST dataset and federated training using Flower framework☆39Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated 4 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆299Updated 3 years ago
- federated-learning☆82Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆305Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).☆86Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 10 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆190Updated 2 years ago
- Investigating Split Learning and Federate Learning☆84Updated 5 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆54Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 6 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- Personalized federated learning codebase for research☆392Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- An easy-to-use federated learning platform☆298Updated 2 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆258Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆159Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 9 months ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆75Updated 5 years ago