Nettsider med emneord «High-performance computing»
![Bildet kan inneholde: azure, organisme, font, sirkel, mønster.](https://www.mn.uio.no/ifi/studier/masteroppgaver/dsb/multigpu.png?alt=listing)
Publisert 10. aug. 2023 21:24
In this project, we modify adaptive variants of unbiased quantization schemes tailored to general variational inequality (VI) problems including those with convex-like structures, e.g., convex minimization, saddle-point problems, and games [4–6] with several applications such as auction theory [7], multi-agent and robust reinforcement learning (RL) [8], adversarially robust learning [9], and generative adversarial networks. In particular, our goal is to design novel adaptive and layer-wise compression schemes tailored to tasks beyond supervised learning building on our recent work on SOTA compression schemes for deep learning [1,10].