Search Results for author: Sangarapillai Lambotharan

Found 4 papers, 0 papers with code

Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System

no code implementations10 Jun 2024 Yasaman Omid, Sangarapillai Lambotharan, Mahsa Derakhshani

In this study, we explore the integration of satellites with ground-based communication networks.

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users

no code implementations8 Jun 2023 Yogachandran Rahulamathavan, Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Carsten Maple

We also develop a novel aggregation scheme within the encrypted domain, utilizing users' non-poisoning rates, to effectively address data poisoning attacks while ensuring privacy is preserved by the proposed encryption scheme.

Data Poisoning Federated Learning +1

Distributed Intelligence in Wireless Networks

no code implementations1 Aug 2022 Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny H. K. Tsang

In this paper, we conduct a comprehensive overview of recent advances in distributed intelligence in wireless networks under the umbrella of native-AI wireless networks, with a focus on the basic concepts of native-AI wireless networks, on the AI-enabled edge computing, on the design of distributed learning architectures for heterogeneous networks, on the communication-efficient technologies to support distributed learning, and on the AI-empowered end-to-end communications.

Decision Making Edge-computing

Physical Layer Security: Detection of Active Eavesdropping Attacks by Support Vector Machines

no code implementations2 Mar 2020 Tiep M. Hoang, Trung Q. Duong, Hoang Duong Tuan, Sangarapillai Lambotharan, Emi Garcia-Palacios, Long D. Nguyen

This paper presents a framework for converting wireless signals into structured datasets, which can be fed into machine learning algorithms for the detection of active eavesdropping attacks at the physical layer.

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