Forschungsbericht 2024

Data Engineering E-19

Leitung: Schulte, Stefan
Oberingenieur: Schallmoser, Dominik
Gründungsdatum: 1.9.2021

Institut auf TORE
Institutswebsite

The Institute for Data Engineering at TU Hamburg conducts research and teaching at the intersection of data engineering and distributed systems, with a particular focus on Distributed Stream Processing, Federated Learning / Artificial Intelligence at the Edge, Blockchain Technologies, and the Internet of Things.

Publikationen

• Noisy group testing via spatial coupling - Journal Article
  Coja-Oghlan, Amin; Hahn-Klimroth, Maximilian Grischa; Hintze, Lukas; Kaaser, Dominik; Krieg, Lena; Rolvien, Maurice; Scheftelowitsch, Olga
  Combinatorics Probability and Computing (in Press): (2024)
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• Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources - Conference Paper
  Blumauer-Hiessl, Thomas; Schulte, Stefan; Lakani, Safoura Rezapour; Keusch, Alexander; Pinter, Elias; Kaufmann, Thomas; Schall, Daniel
  8th IEEE International Conference on Fog and Edge Computing, ICFEC 2024
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• Message from the program chairs - Conference Paper
  Gu, Xiaohui; Pallis, George; Schulte, Stefan; Shi, Weisong
  12th IEEE International Conference on Cloud Engineering, IC2E 2024
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• Client-side adaptation to concept drift in federated learning - Conference Paper
  Saile, Finn; Thomas, Julius; Schallmoser, Dominik; Schulte, Stefan
  2nd International Conference on Federated Learning Technologies and Applications, FLTA 2024
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• Federated Learning Solution Blueprints for Use Cases Surveyed in Austrian Industries - Conference Paper
  Blumauer-Hiessl, Thomas; Fessl, Angela; Breitfuss, Gert; Schall, Daniel; Schulte, Stefan
  26th International Conference on Business Informatics, CBI 2024
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• Efficient cross-blockchain token transfers with rollback support - Conference Paper
  Sober, Michael Peter; Levonyak, Markus; Schulte, Stefan
  6th IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024
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• zkSSI : a Zero-Knowledge-Based Self-Sovereign Identity Framework - Conference Paper
  Hoang, Anh-Tu; Ileri, Can Umut; Sanders, William; Schulte, Stefan
  7th IEEE International Conference on Blockchain, Blockchain 2024
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• Blockchain-based federated learning utilizing zero-knowledge proofs for verifiable training and aggregation - Conference Paper
  Ebrahimi, Elmira; Ileri, Can Umut; Sober, Michael; Hoang, Anh-Tu; Sanders, William; Schulte, Stefan
  7th IEEE International Conference on Blockchain, Blockchain 2024
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• Analysis of strategies for scalable transaction creation in blockchains - Journal Article
  Delzer, Ole; Hobeck, Richard; Weber, Ingo; Kaaser, Dominik; Sober, Michael Peter; Schulte, Stefan
  Computing 106 (11): 3573-3602 (2024)
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• Cross-blockchain communication using oracles with an off-chain aggregation mechanism based on zk-SNARKs - Journal Article
  Sober, Michael; Scaffino, Giulia; Schulte, Stefan
  ACM Distributed Ledger Technologies 3 (4): 27 (2024)
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• Distributed pooled data intrusion detection : lessons learned from quantitative group testing - Conference Paper
  Hahn-Klimroth, Maximilian Grischa; Kaaser, Dominik; Rau, Malin
  44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024
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• A Framework for Dynamic Dependency-based Service Placement in the Cloud-Edge Continuum - Conference Paper
  Sochovsky, Josef; Karagiannis, Vasileios; Edinger, Janick; Kaaser, Dominik; Schulte, Stefan
  44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024
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• Dynamic size counting in the population protocol model - Conference Paper
  Schallmoser, Dominik; Lohmann, Maximilian
  43rd ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, PODC 2024
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• Towards the optimization of gas usage of solidity smart contracts with code mining - Conference Paper
  Banerjee, Avik; Egge, Carl; Schulte, Stefan
  6th IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024
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• Service-oriented computing : a trajectory for research to 2030 - Journal Article
  Plebani, Pierluigi; Schulte, Stefan; Tamburri, Damian Andrew; Dustdar, Schahram
  IEEE Internet Computing 28 (3): 59-63 (2024)
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• Data poisoning detection in federated learning - Conference Paper
  Khuu, Denise-Phi; Fischer, Mathias; Sober, Michael Peter; Kaaser, Dominik; Schulte, Stefan
  ACM Symposium on Applied Computing, SAC 2024
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• Assessing routing algorithms for payment channel networks - Journal Article
  Lobmaier, David; Konlechner, Rafael; Schulte, Stefan; Weber, Ingo
  ACM Distributed Ledger Technologies 3 (1): 6 (2024)
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• Cross-chain smart contract invocations: a systematic multi-vocal literature review - Journal Article
  Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan
  ACM Computing Surveys 56 (6): 142 (2024)
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• ProMark : Ensuring Transparency and Privacy-Awareness in Proximity Marketing Advertising Campaigns - Journal Article
  Hoang, Anh-Tu; Carminati, Barbara; Ferrari, Elena
  IEEE Transactions on Dependable and Secure Computing (in Press): (2024)
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• From WSQoSX to the Cloud : 10 Years of Research on Services Computing at KOM - Book part
  Schulte, Stefan; Berbner, Rainer; Eckert, Julian; Hans, Ronny; Holloway, Melanie; Lampe, Ulrich; Miede, André; Niemann, Michael; Papageorgiou, Apostolos; Repp, Nicolas; Schuller, Dieter
  Lecture Notes in Computer Science 15200: 101-113 (2024)
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• Latency-aware placement of stream processing operators - Conference Paper
  Ecker, Raphael; Karagiannis, Vasileios; Sober, Michael Peter; Ebrahimi, Elmira; Schulte, Stefan
  29th International Conference on Parallel and Distributed Computing, Euro-Par 2023
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Projekte

• NGCN - Next Generation City Networking, Themenkomplex PIONEER_6G
  Deutsches Zentrum Mobilität der Zukunft; Laufzeit 2025-2027
  Projektleitung: Kölpin, Alexander; Timm-Giel, Andreas; Bauch, Gerhard; Yang, Cheng; Kiener, Maximilian; Schulte, Stefan
  Co-Projektleitung: Müller-Lietzkow, Jörg; Noennig Jörg Rainer; Dehbi, Youness
  
  
• SFB 1615 - Zentralprojekt Z-INF: Verarbeitung von großen Datenmengen für SMARTe Reaktoren
  Deutsche Forschungsgemeinschaft (DFG); Laufzeit 2023-2027
  Projektleitung: Schulte, Stefan
  Mitarbeitende: Schallmoser, Dominik
  
  
• CDL-BOT - Christian Doppler Labor für Blockchaintechnologien für das Internet der Dinge
  Christian Doppler Forschungsgesellschaft; Laufzeit 2020-2027
  Projektleitung: Schulte, Stefan
  Mitarbeitende: Sober, Michael Peter