wesleyjtann / Hierarchical-Federated-Learning-Quantization
Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data
☆17Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Hierarchical-Federated-Learning-Quantization
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆155Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆67Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆57Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆80Updated 4 years ago
- ☆90Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆38Updated 2 years ago
- ☆52Updated 2 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆101Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆55Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆43Updated last year
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆71Updated 4 years ago
- ☆30Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆229Updated 3 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆149Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- ☆55Updated 3 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆45Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- This repository implements FEDL using pytorch☆49Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆115Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆137Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆153Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 5 months ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 11 months ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year