ormandi/Gossip-Learning-Framework
This open source benchmarking framework allows you to build your own P2P learning algorithm and evaluate it in a simulated but realistic -- where you can model message delay, drop or churn -- networked environment. Moreover it contains the prototype implementations of some well-known machine learning algorithms like SVM and Logistic Regression.
Java
Stargazers
- arppySZTE
- automenta
- csko
- devos50EPFL
- dmax678
- endlessc
- ggevay@MaterializeInc
- HaydenSmiley
- imfangs
- infinyteCigna
- IR13s
- isthegedusUniversity of Szeged
- izumo27Japan
- jackjhyhangzhou zhejiang china
- jasonchaw"Mathematical Thinking LLC"
- jelasity
- JonovonoRegina, SK
- judithspd@IFCA - CSIC
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- LiteralKaGNAA
- lliyuan59
- lupengkaiZhejiang University, China
- Mahdi-s
- MohamedLEGHParis,France
- ormandi@google
- paladeDublin, Ireland
- rishi-s8EPFL
- sbordeSzeged
- sllamChartBoost Inc
- sshparkGuangdong China
- tamasbalassa
- triblerteamDelft University of Technology
- wizard1203The Hong Kong University of Science and Technology
- yahyatahixMontréal , Quebec, Canada
- yutarochan@IBMResearch