114 citations · 181 across the 31 of their papers we have counts for
7 papers · 1 filter
Distributed Learning over a Wireless Network with Non-coherent Majority Vote Computation
Alphan Sahin
In this study, we propose an over-the-air computation (OAC) scheme to calculate the majority vote (MV) for federated edge learning (FEEL). With the proposed approach, edge devices…
A Survey on Over-the-Air Computation
Alphan Sahin, Rui Yang
Communication and computation are often viewed as separate tasks. This approach is very effective from the perspective of engineering as isolated optimizations can be performed. Ho…
Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning
Alphan Sahin
In this study, we propose a digital over-the-air computation (OAC) scheme for achieving continuous-valued (analog) aggregation for federated edge learning (FEEL). We show that the…
Over-the-Air Computation over Balanced Numerals
Alphan Sahin, Rui Yang
In this study, a digital over-the-air computation (OAC) scheme for achieving continuous-valued gradient aggregation is proposed. It is shown that the average of a set of real-value…
A Demonstration of Over-the-Air Computation for Federated Edge Learning
Alphan Sahin
In this study, we propose a general-purpose synchronization method that allows a set of software-defined radios (SDRs) to transmit or receive any in-phase/quadrature data with prec…
Chirp-Based Over-the-Air Computation for Long-Range Federated Edge Learning
Safi Shams Muhtasimul Hoque, Mohammad Hassan Adeli, Alphan Sahin
In this study, we propose circularly-shifted chirp (CSC)-based majority vote (MV) (CSC-MV), a power-efficient over-the-air computation (OAC) scheme, to achieve long-range federated…
Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning
Mohammad Hassan Adeli, Alphan Sahin
In this paper, we propose a framework where over-the-air computation (OAC) occurs in both uplink (UL) and downlink (DL), sequentially, in a multi-cell environment to address the la…