42 citations · 43 across the 16 of their papers we have counts for
5 papers · 1 filter
Learning OTA: A Unified Framework for Edge Sensing, Computation, and Communication
Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
Most federated learning (FL) studies implicitly assume that training data is readily available at participating edge devices. In practice, this data must first be acquired through…
Distributed Edge Learning under Imperfect Data Sensing
Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
Distributed learning systems typically assume that local data is already available at clients with fixed quality, while in practice, data is sensed through imperfect physical proce…
AISAC: Closing the Loop Between AI and Integrated Sensing and Communication for 6G
Mehdi Karbalayghareh, Abhishek Rajasekaran, Xiaoyan Ma +2
Integrated sensing and communication (ISAC) and AI-and-communication (AIAC) are identified as separate usage scenarios in the ITU IMT-2030 vision for sixth-generation (6G) networks…
AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
Seyed Mohammad Azimi-Abarghouyi, Christopher G. Brinton
This paper investigates over-the-air federated learning (AirFL) in wireless systems where the access point is equipped with a multi-waveguide pinching antenna system (PASS). We ado…
Coherence-Aware Distributed Learning under Heterogeneous Downlink Impairments
Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
The performance of federated learning (FL) over wireless networks critically depends on accurate and timely channel state information (CSI) across distributed devices. This require…