2 papers
cs.DB2026
BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs
Ermu Qiu, Tianyi Chen, Jun Gao +4
Hybrid queries, which combine vector nearest neighbor searches with scalar predicates, represent a fundamental challenge in managing vector databases. Existing methods often restri…
cs.LG2026
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
Run He, Kai Tong, Di Fang +5
In this paper, we introduce analytic federated learning (AFL), a new training paradigm that brings analytical (i.e., closed-form) solutions to the federated learning (FL) with pre-…