Optimal Receive Filter Design for Misaligned Over-the-Air Computation

1 code implementation • 27 Sep 2023 • Henrik Hellström, Saeed Razavikia, Viktoria Fodor, Carlo Fischione

The fundamental idea of OAC is to exploit signal superposition to compute functions of multiple simultaneously transmitted signals.

Over-the-Air Federated Learning with Retransmissions (Extended Version)

no code implementations • 19 Nov 2021 • Henrik Hellström, Viktoria Fodor, Carlo Fischione

Finally, we propose a heuristic for selecting the optimal number of retransmissions, which can be calculated before training the ML model.

Federated Learning

Wireless for Machine Learning

no code implementations • 31 Aug 2020 • Henrik Hellström, José Mairton B. da Silva Jr, Mohammad Mohammadi Amiri, Mingzhe Chen, Viktoria Fodor, H. Vincent Poor, Carlo Fischione

As data generation increasingly takes place on devices without a wired connection, machine learning (ML) related traffic will be ubiquitous in wireless networks.

Active Learning BIG-bench Machine Learning +1