4 papers
TRAP: Understanding and Mitigating Privacy Memorization in Language Models
Muhammed Ustaomeroglu, Ziyue Xu, Hanshen Xiao +3
Fine-tuning a language model on sensitive records can leave it able to reproduce them. We ask when this memorization arises and how to prevent it without knowing in advance which s…
FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
Holger R. Roth, Ziyue Xu, Peter Cnudde
Federated multimodal models often assume every site has every modality, although hospitals differ in access to EHRs, chest radiographs, and ECGs. We study this setting on a MIMIC-d…
Auto-FL-Research: Agentic Search for Federated Learning Algorithms
Holger R. Roth, Ziyue Xu, Chester Chen +3
Federated learning (FL) research often depends on many small but consequential algorithmic choices: optimizer variants, server aggregation rules, local training schedules, normaliz…
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
Erik Ordentlich, Lee Yang, Andy Feng +5
Word2vec is a popular family of algorithms for unsupervised training of dense vector representations of words on large text corpuses. The resulting vectors have been shown to captu…