NiuChaoyue / Secure-Federated-Submodel-Learning
☆15Updated 3 years ago
Alternatives and similar repositories for Secure-Federated-Submodel-Learning:
Users that are interested in Secure-Federated-Submodel-Learning are comparing it to the libraries listed below
- Federated Learning Framework Benchmark (UniFed)☆49Updated last year
- ☆44Updated 2 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆12Updated last year
- Federated Learning Systems Paper List☆70Updated last year
- Oort: Efficient Federated Learning via Guided Participant Selection☆125Updated 3 years ago
- ☆28Updated 4 years ago
- ☆10Updated 3 years ago
- ☆83Updated 4 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 5 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated last year
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆25Updated 2 years ago
- ☆42Updated 10 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆93Updated 8 months ago
- A computation-parallel deep learning architecture.☆13Updated 5 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆23Updated 5 months ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆24Updated 2 years ago
- ☆25Updated last year
- ☆43Updated 3 years ago
- ☆19Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆75Updated 3 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆217Updated 8 months ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 5 years ago
- A tree-based federated learning system (MLSys 2023)☆147Updated 2 months ago
- Byzantine-resilient distributed SGD with TensorFlow.☆39Updated 4 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 2 years ago
- Create tiny ML systems for on-device learning.☆20Updated 3 years ago