collaborators

7 papers

stat.ML2026

Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth Budgets

Prasanjit Dubey, Xiaoming Huo

In federated language modeling, nodes each hold samples but cannot pool data or exchange full-precision gradients or weights. We study the minimax rate at which a condition…

stat.ML2026

Anytime-Valid Federated Conformal RAG for LLM Swarms

Prasanjit Dubey, Xiaoming Huo

Federated Conformal RAG (FC-RAG) provides distribution-free coverage for a bandwidth-limited swarm of weak language models, but only at a fixed horizon. We extend it to anytime-val…

stat.ME2026

BOOST: Power-Optimal Strong-FWER Testing for Block-Structured Multiplicity

Prasanjit Dubey, Xiaoming Huo

Structured multiple-testing problems (gatekeeping trials, dose-finding, multi-tissue eQTL mapping, bundled-challenger A/B experiments) organize hypotheses into design-imposed block…

stat.ML2026

Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage

Prasanjit Dubey, Xiaoming Huo

Training a language model on data scattered across bandwidth-limited nodes that cannot be centralized is a setting that arises in clinical networks, enterprise knowledge bases, and…

stat.ME2026

Optimal multiple testing under family-wise error control: elementary symmetric polynomials and a scalable algorithm

Prasanjit Dubey, Xiaoming Huo

Family-wise error rate control is essential when even one false rejection is costly, but distribution-free procedures do not exploit information in a specified alternative model. E…

stat.ML2025

LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts

Prasanjit Dubey, Aritra Guha, Zhengyi Zhou +3

Sparse longitudinal (SL) textual data arises when individuals generate text repeatedly over time (e.g., customer reviews, occasional social media posts, electronic medical records…