5 papers
Certifying Repeatable Entry-Replay Witnesses for COBOL-to-Java Migration
Andras L. Ferenczi, Mariya Bessonov, Allwyn Ponnudurai +3
Producing synthetic data for comparison testing a migrated COBOL application is a major challenge that agentic migrations face today. Our prior paper, the Agentic Method for Determ…
Agentic Method for Deterministic Validation of Legacy Code Migration
Andras Ferenczi, Jordan Docherty, Mariya Bessonov +2
Migration of legacy COBOL programs to Java requires extensive testing to ensure correct functionality. This effort is often complicated by the lack of test data and the difficulty…
Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers
Andras Ferenczi, Sutapa Samanta, Dagen Wang +1
Federated Learning (FL) trains a global model across decentralized clients while preserving data privacy, but at scale it is vulnerable to malicious updates. Byzantine-resilient ag…
Enhancing Federated Learning Privacy with QUBO
Andras Ferenczi, Sutapa Samanta, Dagen Wang +1
Federated learning (FL) is a widely used method for training machine learning (ML) models in a scalable way while preserving privacy (i.e., without centralizing raw data). Prior re…
Credit Default Prediction with Projected Quantum Feature Models and Ensembles
Andras Ferenczi, Dagen Wang, Mariya Bessonova +8
Accurate prediction of future loan defaults is a critical capability for financial institutions that provide lines of credit. For institutions that issue and manage extensive loan…