Reent Schlegel

R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat

CodedPaddedFL and CodedSecAgg: Straggler mitigation and secure aggregation in federated learning

IEEE Transactions on Communications

R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat

Privacy-preserving coded mobile edge computing for low-latency distributed inference

IEEE Journal on Selected Areas in Communications (IEEE JSAC)

S. Kumar, R. Schlegel, E. Rosnes and A. G. i. Amat

Coding for straggler mitigation in federated learning

IEEE International Conference on Communications (ICC)

R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat

Straggler-resilient secure aggregation for federated learning

2022 30th European Signal Processing Conference (EUSIPCO)

R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat

Private edge computing for linear inference based on secret sharing

IEEE Global Communications Conference (GLOBECOM)