orion-orion / Distributed-ML-PySparkLinks
🔨 使用Spark/Pytorch实现分布式算法，包括图/矩阵计算（graph/matrix computation）、随机算法、优化（optimization）和机器学习。参考刘铁岩《分布式机器学习》和CME 323课程
☆39Updated 2 years ago
Alternatives and similar repositories for Distributed-ML-PySpark
Users that are interested in Distributed-ML-PySpark are comparing it to the libraries listed below
Sorting:
- 中科大凌青老师凸优化课程的课程笔记☆31Updated 4 years ago
- A computation-parallel deep learning architecture.☆13Updated 5 years ago
- ☆19Updated 2 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆20Updated last year
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆17Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆52Updated 2 years ago
- 水很深的深度学习☆131Updated last year
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆66Updated 2 years ago
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆35Updated this week
- implementation of federated neural collaborative filtering algorithm☆11Updated last year
- a deep learning-driven scheduler for elastic training in deep learning clusters☆30Updated 4 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated last year
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Updated 4 years ago
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆35Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆67Updated 3 years ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 7 months ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 4 years ago
- Federated Fairness-aware Recommendation☆14Updated 2 years ago
- ☆25Updated 3 weeks ago
- ☆16Updated 2 years ago
- 📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】☆21Updated 2 years ago
- GOMA is a two-sided online task assignment problem in Spatial Crowdsourcing.☆18Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆38Updated 2 years ago
- Everything about federated learning. Your contribution is highly valued!☆31Updated 3 years ago
- ☆15Updated 3 years ago
- Federated Learning Paper Reading List☆23Updated 2 years ago
- 一个用于联邦学习或分布式机器学习，对不同网络拓扑进行实验的简易框架。☆38Updated 2 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 5 years ago