ChanChiChoi / awesome-Federated-LearningLinks
federated-learning
☆83Updated 2 years ago
Alternatives and similar repositories for awesome-Federated-Learning
Users that are interested in awesome-Federated-Learning are comparing it to the libraries listed below
Sorting:
- ☆54Updated 3 years ago
- Investigating Split Learning and Federate Learning☆82Updated 5 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆110Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆146Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- ☆175Updated 8 months ago
- ☆95Updated 3 years ago
- Attentive Federated Learning for Private NLM☆61Updated 11 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated 4 months ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 4 months ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆167Updated 2 years ago