Deep Reinforcement Learning for Task Allocation in Energy Harvesting Mobile Crowdsensing. - Sumedh Dongare; Andrea Ortiz; Anja Klein 002 (GLOBECOM, 2022)

Delay- and Incentive-Aware Crowdsensing: A Stable Matching Approach for Coverage Maximization. - Bernd Simon; Sumedh Dongare; Tobias Mahn; Andrea Ortiz; Anja Klein 002 (ICC, 2022)

Federated Deep Reinforcement Learning for Task Participation in Mobile Crowdsensing. - Sumedh Dongare; Andrea Ortiz; Anja Klein 002 (GLOBECOM, 2023)

Minimizing the Age of Incorrect Information for Status Update Systems with Energy Harvesting. - Sumedh Dongare; Aleksandar Jovovic; Wanja de Sombre; Andrea Ortiz; Anja Klein 002 (ICC, 2024)

Two-Sided Learning: A Techno-Economic View of Mobile Crowdsensing Under Incomplete Information. - Sumedh Dongare; Bernd Simon; Andrea Ortiz; Anja Klein 002 (ICC, 2024)