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20172024
most citedDistributed Learning over a Wireless Network with Non-coherent Majority Vote Computation

3 citations · 4 across the 15 of their papers we have counts for

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11 papers · 1 filter

eess.SP2024

A Self-Healing Mesh Network without Global-Time Synchronization

Alphan Şahin, Hüseyin Arslan

In this paper, we propose a slot-based protocol that does not rely on global-time synchronization to achieve a self-healing mesh network. With the proposed protocol, each node sync…

eess.SP2023

Wireless Federated -Means Clustering with Non-coherent Over-the-Air Computation

Alphan Sahin

In this study, we propose using an over-the-air computation (OAC) scheme for the federated k-means clustering algorithm to reduce the per-round communication latency when it is imp…

eess.SP20221 cited

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…

eess.SP2022

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…

eess.SP2021

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…

eess.SP2021

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…