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https://dx.doi.org/10.48550/ar...
Article . 2026
License: CC BY
Data sources: Datacite
DBLP
Preprint . 2026
Data sources: DBLP
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Lambdas at the Far Edge: a Tale of Flying Lambdas and Lambdas on Wheels

Authors: Giorgio Audrito; Daniele Bortoluzzi 0002; Ferruccio Damiani; Giordano Scarso; Gianluca Torta; Andrea Basso 0001; Monica Cochi; +9 Authors

Lambdas at the Far Edge: a Tale of Flying Lambdas and Lambdas on Wheels

Abstract

Aggregate Programming (AP) is a paradigm for programming the collective behaviour of sets of distributed devices, possibly situated at the network far edge, by relying on asynchronous proximity-based interactions. The eXchange Calculus (XC), a recently proposed foundational model for AP, is essentially a typed lambda calculus extended with an operator (the exchange operator) providing an implicit communication mechanism between neighbour devices. This paper provides a gentle introduction to XC and to its implementation as a C++ library, called FCPP. The FCPP library and toolchain has been mainly developed at the Department of Computer Science of the University of Turin, where Stefano Berardi spent most of his academic career conducting outstanding research about logical foundation of computer science and transmitting his passion for research to students and young researchers, often exploiting typed lambda calculi. An FCCP program is essentially a typed lambda term, and FCPP has been used to write code that has been deployed on devices at the far edge of the network, including rovers and (soon) Uncrewed Aerial Vehicles (UAVs); hence the title of the paper.

In Proceedings LTT 2026, arXiv:2603.02912

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Keywords

FOS: Computer and information sciences, Programming Languages, Distributed, Parallel, and Cluster Computing, Robotics, Distributed, Parallel, and Cluster Computing (cs.DC), Robotics (cs.RO), Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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