This paper explores the integration of device-to-device communications into clustered federated learning (FL), where clients are grouped into multiple clusters based on the similarity of their learning tasks. To mitigate communication costs, we …
We introduce a new class of codebook-aware jamming strategies against coded transmissions over AWGN channels. The proposed strategies derive attack vectors from non-zero positions of minimum-weight codewords in Hamming space and utilize the geometry …
To enable the development of multi-functional cellular networks that aim to satisfy increasing expectations of connectivity and trustworthiness, it is crucial to provide reliable quality of service (QoS) guarantees for end users. With predictive QoS …
This paper investigates over-the-air computation (AirComp) in the context of multiple-access time-varying mul-tipath channels. We focus on a scenario where devices with high mobility transmit their sensing data to a fusion center (FC) for averaging. …
We consider the problem of secure histogram es-timation, where n users hold private items x i from a size-d domain and a server aims to estimate the histogram of the user items. Previous results utilizing orthogonal communication schemes have shown …
Over-the-air computation (AirComp) is a promising wireless communication method for aggregating data from many devices in dense wireless networks. The fundamental idea of AirComp is to exploit signal superposition to compute functions of multiple …
We consider the problem of gridless blind deconvolution and demixing (GB2D) in scenarios where multiple users communicate messages through multiple unknown channels, and a single base station (BS) collects their contributions. This scenario arises in …
Resource allocation and multiple access schemes are instrumental for the success of communication networks, which facilitate seamless wireless connectivity among a growing population of uncoordinated and non-synchronized users. In this paper, we …
Over-the-air computation (AirComp) is a known technique in which wireless devices transmit values by analog amplitude modulation so that a function of these values is computed over the communication channel at a common receiver. The physical reason …
Federated Learning (FL) plays a prominent role in solving machine learning problems with data distributed across clients. In FL, to reduce the communication overhead of data between clients and the server, each client communicates the local FL …