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| * **Distributed computing using RDMA and/or NVRAM**: contact [[https://people.epfl.ch/igor.zablotchi|Igor Zablotchi]] for more information. | * **Distributed computing using RDMA and/or NVRAM**: contact [[https://people.epfl.ch/igor.zablotchi|Igor Zablotchi]] for more information. | ||
| - | + | * **[[Distributed ML|Distributed Machine Learning]]**: contact [[http://people.epfl.ch/georgios.damaskinos|Georgios Damaskinos]] for more information. | |
| * **Robust Distributed Machine Learning**: The goal of such project is to work on the design and implementation of algorithms and systems to improve the robustness of distributed ML schemes that would tolerate poisoned data, software bugs as well as hardware failures. The practical work will be done on TensorFlow or Pytorch. Contact [[https://people.epfl.ch/arsany.guirguis|Arsany Guirguis]] or [[https://people.epfl.ch/sebastien.rouault|Sébastien Rouault]] for more information. | * **Robust Distributed Machine Learning**: The goal of such project is to work on the design and implementation of algorithms and systems to improve the robustness of distributed ML schemes that would tolerate poisoned data, software bugs as well as hardware failures. The practical work will be done on TensorFlow or Pytorch. Contact [[https://people.epfl.ch/arsany.guirguis|Arsany Guirguis]] or [[https://people.epfl.ch/sebastien.rouault|Sébastien Rouault]] for more information. | ||