Zobrazeno 1 - 10
of 200
pro vyhledávání: '"di Lorenzo, Paolo"'
Autor:
Pomponi, Jary, Merluzzi, Mattia, Devoto, Alessio, Mota, Mateus Pontes, Di Lorenzo, Paolo, Scardapane, Simone
This paper presents a novel framework for goal-oriented semantic communications leveraging recursive early exit models. The proposed approach is built on two key components. First, we introduce an innovative early exit strategy that dynamically parti
Externí odkaz:
http://arxiv.org/abs/2412.19587
Developing methods to process irregularly structured data is crucial in applications like gene-regulatory, brain, power, and socioeconomic networks. Graphs have been the go-to algebraic tool for modeling the structure via nodes and edges capturing th
Externí odkaz:
http://arxiv.org/abs/2412.01576
Autor:
Hüttebräucker, Tomás, Fiorellino, Simone, Sana, Mohamed, Di Lorenzo, Paolo, Strinati, Emilio Calvanese
In multi-user semantic communication, language mismatche poses a significant challenge when independently trained agents interact. We present a novel semantic equalization algorithm that enables communication between agents with different languages w
Externí odkaz:
http://arxiv.org/abs/2411.19719
This paper studies the interference broadcast channel comprising multiple multi-antenna Base Stations (BSs), each controlling a beyond diagonal Reconfigurable Intelligent Surface (RIS) and serving multiple single-antenna users. Wideband transmissions
Externí odkaz:
http://arxiv.org/abs/2409.03841
Autor:
Devoto, Alessio, Alvetreti, Federico, Pomponi, Jary, Di Lorenzo, Paolo, Minervini, Pasquale, Scardapane, Simone
Recently, foundation models based on Vision Transformers (ViTs) have become widely available. However, their fine-tuning process is highly resource-intensive, and it hinders their adoption in several edge or low-energy applications. To this end, in t
Externí odkaz:
http://arxiv.org/abs/2408.08670
This paper investigates the advantages of representing and processing semantic knowledge extracted into graphs within the emerging paradigm of semantic communications. The proposed approach leverages semantic and pragmatic aspects, incorporating rece
Externí odkaz:
http://arxiv.org/abs/2407.19338
The plethora of wirelessly connected devices, whose deployment density is expected to largely increase in the upcoming sixth Generation (6G) of wireless networks, will naturally necessitate substantial advances in multiple access schemes. Reconfigura
Externí odkaz:
http://arxiv.org/abs/2406.19334
In this paper, we propose a novel design for AI-native goal-oriented communications, exploiting transformer neural networks under dynamic inference constraints on bandwidth and computation. Transformers have become the standard architecture for pretr
Externí odkaz:
http://arxiv.org/abs/2405.02330
The Information Bottleneck (IB) method is an information theoretical framework to design a parsimonious and tunable feature-extraction mechanism, such that the extracted features are maximally relevant to a specific learning or inference task. Despit
Externí odkaz:
http://arxiv.org/abs/2404.09218
In future 6G wireless networks, semantic and effectiveness aspects of communications will play a fundamental role, incorporating meaning and relevance into transmissions. However, obstacles arise when devices employ diverse languages, logic, or inter
Externí odkaz:
http://arxiv.org/abs/2403.16986