activity
20222026
most citedProjected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version)

2 citations · 8 across the 10 of their papers we have counts for

collaborators

10 papers

cs.MA2026

Trust-Aware Sequential Decision Making and Rollout Planning for Resilient Multi-Robot Systems

Roee M. Francos, Daniel Garces, Orhan Eren Akgün +2

Sequential decision-making in multi-robot systems typically assumes that planning information is reliable and that agents execute the actions anticipated by the planner. Compromise…

cs.MA2025

Operational Reliability of Deadline-Constrained Task Assignment: Stability Characterization and Adversarial Routing

Roee M. Francos, Daniel Garces, Orhan Eren Akgün +1

Automated task-assignment systems often serve stochastic tasks subject to finite deadlines. In these settings, conventional backlog-based stability can be misleading: finite task l…

eess.SY2025

Multi-Agent Trustworthy Consensus under Random Dynamic Attacks

Orhan Eren Akgün, Sarper Aydın, Stephanie Gil +1

In this work, we study the consensus problem in which legitimate agents send their values over an undirected communication network in the presence of an unknown subset of malicious…

eess.SY2024

Fast Distributed Optimization over Directed Graphs under Malicious Attacks using Trust

Arif Kerem Dayı, Orhan Eren Akgün, Stephanie Gil +2

In this work, we introduce the Resilient Projected Push-Pull (RP3) algorithm designed for distributed optimization in multi-agent cyber-physical systems with directed communication…

eess.SY2024★ 2 cited

Multi-Agent Resilient Consensus under Intermittent Faulty and Malicious Transmissions (Extended Version)

Sarper Aydın, Orhan Eren Akgün, Stephanie Gil +1

In this work, we consider the consensus problem in which legitimate agents share their values over an undirected communication network in the presence of malicious or faulty agents…

cs.RO2024★ 1 cited

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers

Orhan Eren Akgün, Néstor Cuevas, Matheus Farias +1

Resource-constrained robotic platforms are particularly useful for tasks that require low-cost hardware alternatives due to the risk of losing the robot, like in search-and-rescue…

math.OC2023★ 2 cited

Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version)

Orhan Eren Akgün, Arif Kerem Dayı, Stephanie Gil +1

We introduce the Projected Push-Pull algorithm that enables multiple agents to solve a distributed constrained optimization problem with private cost functions and global constrain…

cs.RO2023★ 1 cited

Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots (evolved version)

Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini +2

We develop a resilient binary hypothesis testing framework for decision making in adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust observations…

cs.MA2022★ 2 cited

Learning Trust Over Directed Graphs in Multiagent Systems (extended version)

Orhan Eren Akgün, Arif Kerem Dayı, Stephanie Gil +1

We address the problem of learning the legitimacy of other agents in a multiagent network when an unknown subset is comprised of malicious actors. We specifically derive results fo…

cs.RO2022

Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots

Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini +2

We develop a resilient binary hypothesis testing framework for decision making in adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust observations…