Two papers accepted to MLSys 2025

Two papers were accepted to MLSys 2025: 

• "On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions" by Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam. The paper proposes and analyzes new practical methods to perform subset selection for datasets so big they do not fit into the memory of a single machine. It is a collaboration between Google and ETH and results from an internship of Maximilian at Google.
• "ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments" by Youhe Jiang*, Fangcheng Fu*, Xiaozhe Yao*, Taiyi Wang, Bin Cui, Ana Klimovic, Eiko Yoneki.

* equal contribution