activity
20162026
most citedFederated Learning with Server Learning: Enhancing Performance for Non-IID Data

4 citations · 19 across the 20 of their papers we have counts for

collaborators

20 papers

quant-ph2026

On the Swapping Capacity of a Quantum Repeater

Van Sy Mai, Richard J. La, Abdella Battou +2

We study the capacity of a memory-based quantum repeater in entanglement swapping between two quantum links with either single or multiple memories, which we refer to as the end-to…

quant-ph2026

Physics-Informed Discrete-Event Simulation of Polarization-Encoded Quantum Networks

Abderrahim Amlou, Amar Abane, Cory M. Nunn +4

We extend the SeQUeNCe discrete-event simulator with physics-based models for polarization-encoded photonic quantum networks. Our framework integrates Jones-calculus optical compon…

cs.LG2026

Enhancing Robustness of Federated Learning via Server Learning

Van Sy Mai, Kushal Chakrabarti, Richard J. La +1

This paper explores the use of server learning for enhancing the robustness of federated learning against malicious attacks even when clients' training data are not independent and…

quant-ph2025

Multiverse: A Simulator for Evaluating Entanglement Routing in Quantum Networks

Amar Abane, Junxiao Shi, Van Sy Mai +2

We present MQNS, a discrete-event simulator for rapid evaluation of entanglement routing under dynamic, heterogeneous configurations. MQNS supports runtime-configurable purificatio…

quant-ph2025

Towards Optimal Orders for Entanglement Swapping in Path Graphs: A Greedy Approach

Van Sy Mai, Abderrahim Amlou, Amar Abane +1

This paper considers the problem of finding an optimal order for entanglement swapping in a heterogeneous path of quantum repeaters so as to maximize the path throughput defined as…

eess.SP2024

Detection of Performance Interference Among Network Slices in 5G/6G Systems

Van Sy Mai, Richard La, Tao Zhang +1

Recent studies showed that network slices (NSs), which are logical networks supported by shared physical networks, can experience service interference due to sharing of physical an…

eess.SY2024

Ensuring System-Level Protection against Eavesdropping Adversaries in Distributed Dynamical Systems

Dipankar Maity, Van Sy Mai

In this work, we address the objective of protecting the states of a distributed dynamical system from eavesdropping adversaries. We prove that state-of-the-art distributed algorit…

cs.ET2024★ 1 cited

Entanglement Routing in Quantum Networks: A Comprehensive Survey

Amar Abane, Michael Cubeddu, Van Sy Mai +1

Entanglement routing in near-term quantum networks consists of choosing the optimal sequence of short-range entanglements to combine through swapping operations to establish end-to…

cs.NI2023

Dynamic Regret of Randomized Online Service Caching in Edge Computing

Siqi Fan, I-Hong Hou, Van Sy Mai

This paper studies an online service caching problem, where an edge server, equipped with a prediction window of future service request arrivals, needs to decide which services to…

cs.LG2022★ 4 cited

Federated Learning with Server Learning: Enhancing Performance for Non-IID Data

Van Sy Mai, Richard J. La, Tao Zhang

Federated Learning (FL) has emerged as a means of distributed learning using local data stored at clients with a coordinating server. Recent studies showed that FL can suffer from…

eess.SY2022★ 1 cited

Optimal Cybersecurity Investments Using SIS Model: Weakly Connected Networks

Van Sy Mai, Richard J. La, Abdella Battou

We study the problem of minimizing the (time) average security costs in large systems comprising many interdependent subsystems, where the state evolution is captured by a suscepti…

eess.SY2022★ 2 cited

End-to-End Quality-of-Service Assurance with Autonomous Systems: 5G/6G Case Study

Van Sy Mai, Richard J. La, Tao Zhang +1

Providing differentiated services to meet the unique requirements of different use cases is a major goal of the fifth generation (5G) telecommunication networks and will be even mo…

cs.NI2021★ 2 cited

Online Service Caching and Routing at the Edge with Unknown Arrivals

Siqi Fan, I-Hong Hou, Van Sy Mai +1

This paper studies a problem of jointly optimizing two important operations in mobile edge computing without knowing future requests, namely service caching, which determines which…

math.OC2021★ 3 cited

Distributed Optimization with Global Constraints Using Noisy Measurements

Van Sy Mai, Richard J. La, Tao Zhang +1

We propose a new distributed optimization algorithm for solving a class of constrained optimization problems in which (a) the objective function is separable (i.e., the sum of loca…

cs.NI2020

The Case for Hop-by-Hop Traffic Engineering

Klaus Schneider, Beichuan Zhang, Van Sy Mai +1

State-of-the-art Internet traffic engineering uses source-based explicit routing via MPLS or Segment Routing. Though widely adopted in practice, source routing can face certain ine…

eess.SY2020★ 2 cited

Optimal Cybersecurity Investments in Large Networks Using SIS Model: Algorithm Design

Van Sy Mai, Richard J. La, Abdella Battou

We study the problem of minimizing the (time) average security costs in large networks/systems comprising many interdependent subsystems, where the state evolution is captured by a…

math.OC2018★ 1 cited

Optimal Cache Allocation for Named Data Caching under Network-Wide Capacity Constraint

Van Sy Mai, Stratis Ioannidis, Davide Pesavento +1

Network cache allocation and management are important aspects of the design of an Information-Centric Network (ICN), such as one based on Named Data Networking (NDN). We address th…

math.OC2018

Distributed Optimization over Directed Graphs with Row Stochasticity and Constraint Regularity

Van Sy Mai, Eyad H. Abed

This paper deals with an optimization problem over a network of agents, where the cost function is the sum of the individual objectives of the agents and the constraint set is the…

math.OC2018

Optimizing Leader Influence in Networks through Selection of Direct Followers

Van Sy Mai, Eyad H. Abed

The paper considers the problem of a leader that seeks to optimally influence the opinions of agents in a directed network through connecting with a limited number of the agents ("…

math.OC2016★ 3 cited

Linear convergence in optimization over directed graphs with row-stochastic matrices

Chenguang Xi, Van Sy Mai, Ran Xin +2

This paper considers a distributed optimization problem over a multi-agent network, in which the objective function is a sum of individual cost functions at the agents. We focus on…