3 citations · 4 across the 13 of their papers we have counts for
20 papers
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…
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…
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…
Distributed Learning over a Wireless Network with FSK-Based Majority Vote
Alphan Sahin, Bryson Everette, Safi Shams Muhtasimul Hoque
In this study, we propose an over-the-air computation (AirComp) scheme for federated edge learning (FEEL). The proposed scheme relies on the concept of distributed learning by majo…
Index Modulation with Circularly-Shifted Chirps for Dual-Function Radar and Communications
Alphan Sahin, Safi Shams Muhtasimul Hoque, Chao-Yu Chen
In this study, we propose index modulation (IM) with circularly-shifted chirps (CSCs) (CSC-IM) for dual-function radar and communication (DFRC) systems. The proposed scheme encodes…