activity
20182024
most citedRoadmap for Edge AI: A Dagstuhl Perspective

64 citations · 94 across the 9 of their papers we have counts for

collaborators

11 papers

cs.MA2024

FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents

Jannis Weil, Jonas Ringsdorf, Julian Barthel +2

Multimedia streaming accounts for the majority of traffic in today's internet. Mechanisms like adaptive bitrate streaming control the bitrate of a stream based on the estimated ban…

cs.CV2024

Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection

Ahmad Khalil, Tizian Dege, Pegah Golchin +3

In the pursuit of refining precise perception models for fully autonomous driving, continual online model training becomes essential. Federated Learning (FL) within vehicular netwo…

cs.NI2024

Resilience-by-Design in 6G Networks: Literature Review and Novel Enabling Concepts

Ladan Khaloopour, Yanpeng Su, Florian Raskob +12

The sixth generation (6G) mobile communication networks are expected to intelligently integrate into various aspects of modern digital society, including smart cities, homes, healt…

cs.MA2024

Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing

Jannis Weil, Zhenghua Bao, Osama Abboud +1

Graph-based environments pose unique challenges to multi-agent reinforcement learning. In decentralized approaches, agents operate within a given graph and make decisions based on…

cs.MA2023

Learning to Cooperate and Communicate Over Imperfect Channels

Jannis Weil, Gizem Ekinci, Heinz Koeppl +1

Information exchange in multi-agent systems improves the cooperation among agents, especially in partially observable settings. In the real world, communication is often carried ou…

cs.AI2023

Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman

Jannis Weil, Johannes Czech, Tobias Meuser +1

In combination with Reinforcement Learning, Monte-Carlo Tree Search has shown to outperform human grandmasters in games such as Chess, Shogi and Go with little to no prior domain k…

cs.DC2021★ 64 cited

Roadmap for Edge AI: A Dagstuhl Perspective

Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…

cs.CL2021★ 4 cited

I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection

Tim Steuer, Anna Filighera, Tobias Meuser +1

Most learners fail to develop deep text comprehension when reading textbooks passively. Posing questions about what learners have read is a well-established way of fostering their…

cs.CR2020

Hide Me: Enabling Location Privacy in Heterogeneous Vehicular Networks

Tobias Meuser, Oluwasegun Taiwo Ojo, Daniel Bischoff +3

To support location-based services, vehicles must share their location with a server to receive relevant data, compromising their (location) privacy. To alleviate this privacy comp…

eess.SP2019

A Trust Management and Misbehaviour Detection Mechanism for Multi-Agent Systems and its Application to Intelligent Transportation Systems

Johannes Müller, Tobias Meuser, Ralf Steinmetz +1

Cooperative information shared among a multi-agent system (MAS) can be useful to agents to efficiently fulfill their missions. Relying on wrong information, however, can have sever…

cs.NI2018★ 26 cited

Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response

Flor Álvarez, Lars Almon, Patrick Lieser +5

Smartphone-based communication networks form a basis for services in emergency response scenarios, where communication infrastructure is impaired or overloaded. Still, their design…