124 citations · 134 across the 16 of their papers we have counts for
5 papers · 1 filter
CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines
Wenbo Sun, Jiaqi Wang, Qiming Guo +3
Online Large Language Model (LLM) services such as ChatGPT and Claude 3 have transformed business operations and academic research by effortlessly enabling new opportunities. Howev…
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou +2
Vertical federated learning (VFL) is a promising area for time series forecasting in many applications, such as healthcare and manufacturing. Critical challenges to address include…
Model Selection with Model Zoo via Graph Learning
Ziyu Li, Hilco van der Wilk, Danning Zhan +3
Pre-trained deep learning (DL) models are increasingly accessible in public repositories, i.e., model zoos. Given a new prediction task, finding the best model to fine-tune can be…
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models
Aditya Shankar, Hans Brouwer, Rihan Hai +1
Synthetic tabular data is crucial for sharing and augmenting data across silos, especially for enterprises with proprietary data. However, existing synthesizers are designed for ce…
Quantum Data Management: From Theory to Opportunities
Rihan Hai, Shih-Han Hung, Sebastian Feld
Quantum computing has emerged as a transformative tool for future data management. Classical problems in database domains, including query optimization, data integration, and trans…