PengchaoHan / Adaptive_Gradient_Sparsification_FLLinks
Adaptive gradient sparsification for efficient federated learning: an online learning approach
☆18Updated 5 years ago
Alternatives and similar repositories for Adaptive_Gradient_Sparsification_FL
Users that are interested in Adaptive_Gradient_Sparsification_FL are comparing it to the libraries listed below
Sorting:
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- ☆54Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- ☆22Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆96Updated 4 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 5 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 5 years ago
- ☆32Updated 3 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Asynchronous Federated Learning☆20Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆150Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 3 years ago
- ☆29Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆146Updated 6 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago