Private Edge Computing for Linear Inference Based on Secret Sharing. - Reent Schlegel; Siddhartha Kumar; Eirik Rosnes; Alexandre Graell i Amat (GLOBECOM, 2020)

Straggler-Resilient Secure Aggregation for Federated Learning. - Reent Schlegel; Siddhartha Kumar; Eirik Rosnes; Alexandre Graell i Amat (EUSIPCO, 2022)

Coding for Straggler Mitigation in Federated Learning. - Siddhartha Kumar; Reent Schlegel; Eirik Rosnes; Alexandre Graell i Amat (ICC, 2022)

Privacy-Preserving Coded Mobile Edge Computing for Low-Latency Distributed Inference. - Reent Schlegel; Siddhartha Kumar; Eirik Rosnes; Alexandre Graell i Amat (IEEE J. Sel. Areas Commun., 2022)

CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning. - Reent Schlegel; Siddhartha Kumar; Eirik Rosnes; Alexandre Graell i Amat (IEEE Trans. Commun., 2023)