65 citations · 158 across the 27 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
Yvonne Zhou, Mingyu Liang, Ivan Brugere +5
We present the first theoretical convergence analysis of machine learning training under fully homomorphic encryption (FHE), combined with a differentially private (DP) training al…
cs.AI2026
GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
Andrew Murray, Danial Dervovic, Alberto Pozanco +1
We present GenePlan (GENeralized Evolutionary Planner), a novel framework that leverages large language model (LLM) assisted evolutionary algorithms to generate domain-dependent ge…