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
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- ☆41Updated 10 months ago
- ☆28Updated 4 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆125Updated 3 years 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
- ☆83Updated 4 years ago
- ☆10Updated 3 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆93Updated 7 months ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- ☆19Updated last year
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆18Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆28Updated 7 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆33Updated last year
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 5 years ago
- A tree-based federated learning system (MLSys 2023)☆147Updated last month
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 5 months ago
- Byzantine-resilient distributed SGD with TensorFlow.☆39Updated 4 years ago
- Create tiny ML systems for on-device learning.☆20Updated 3 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 4 years ago
- ☆43Updated 3 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
- A computation-parallel deep learning architecture.☆13Updated 5 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago