• A. Kumar, N. Hemadasa, D. Kaaser, and S. Schulte (2025). FLUID: Federated Learning with Unlearning and Instant Drift-Recovery. accepted for publication in The 3rd International Conference on Federated Learning Technologies and Applications (FLTA). IEEE Computer Society, Washington, DC, USA.
  
  
• F. Hensel, A. Banerjee, E. Ebrahimi, and S. Schulte (2025). An AI-Powered Auto-Completion Tool for Solidity Smart Contracts. accepted for publication in the 8th IEEE International Conference on Blockchain (Blockchain 2025). IEEE Computer Society, Washington, DC, USA.
  
  
• G. Nkamdjin Njike, A.-T. Hoang, and S. Schulte (2025). Securing Blockchain-Based Distributed Learning for Heterogeneous Clients Through Knowledge Distillation and Zero-Knowledge Proofs. accepted for publication in the 8th IEEE International Conference on Blockchain (Blockchain 2025). IEEE Computer Society, Washington, DC, USA.
  
  
• I. Rahman, N. Hemadasa, D. Kaaser, P.-A. Murena, and S. Schulte (2025). Detect, Adapt, Overcome: Mitigating Concept Drift in Federated Learning. accepted for publication in The 3rd International Conference on Federated Learning Technologies and Applications (FLTA). IEEE Computer Society, Washington, DC, USA.
  
  
• L. Rometsch, P.-F. Lehwalder, A.-T. Hoang, D. Kaaser, and S. Schulte (2025). UPPR: Universal Privacy-Preserving Revocation. accepted for publication in the 8th IEEE International Conference on Blockchain (Blockchain 2025). IEEE Computer Society, Washington, DC, USA.
  
  
• M. Kobelt, M. Sober, S. Schulte, and L. Rometsch (2025). Routing Cross-Blockchain Communication. accepted for publication in 7th Conference on Blockchain Research & Applications for Innovative Networks and Services, BRAINS 2025.