102 citations · 154 across the 4 of their papers we have counts for
4 papers
Securing Federated Learning: A Covert Communication-based Approach
Yuan-Ai Xie, Jiawen Kang, Dusit Niyato +4
Federated Learning Networks (FLNs) have been envisaged as a promising paradigm to collaboratively train models among mobile devices without exposing their local privacy data. Due t…
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
Mingxiang Chen, Lei Gao, Qichang Chen +1
This paper presents a novel neural network design that learns the heuristic for Large Neighborhood Search (LNS). LNS consists of a destroy operator and a repair operator that speci…
Learn to Design the Heuristics for Vehicle Routing Problem
Lei Gao, Mingxiang Chen, Qichang Chen +3
This paper presents an approach to learn the local-search heuristics that iteratively improves the solution of Vehicle Routing Problem (VRP). A local-search heuristics is composed…
Learning-based Quantum Robust Control: Algorithm, Applications and Experiments
Daoyi Dong, Xi Xing, Hailan Ma +3
Robust control design for quantum systems has been recognized as a key task in quantum information technology, molecular chemistry and atomic physics. In this paper, an improved di…