2 citations · 5 across the 3 of their papers we have counts for
3 papers
Scalable Data Point Valuation in Decentralized Learning
Konstantin D. Pandl, Chun-Yin Huang, Ivan Beschastnikh +3
Existing research on data valuation in federated and swarm learning focuses on valuing client contributions and works best when data across clients is independent and identically d…
Reward Systems for Trustworthy Medical Federated Learning
Konstantin D. Pandl, Florian Leiser, Scott Thiebes +1
Federated learning (FL) has received high interest from researchers and practitioners to train machine learning (ML) models for healthcare. Ensuring the trustworthiness of these mo…
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda
Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin +1
Developments in Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) currently lead to lively debates in academia and practice. AI processes data to perform tasks t…