Concept

Espionage

Publications associées (10)

Differentially private multi-agent constraint optimization

Boi Faltings, Sujit Prakash Gujar, Aleksei Triastcyn, Sankarshan Damle

Distributed constraint optimization (DCOP) is a framework in which multiple agents with private constraints (or preferences) cooperate to achieve a common goal optimally. DCOPs are applicable in several multi-agent coordination/allocation problems, such as ...

Dordrecht2024

Opinion Formation over Adaptive Networks

Virginia Bordignon

An adaptive network consists of multiple communicating agents, equipped with sensing and learning abilities that allow them to extract meaningful information from measurements. The objective of the network is to solve a global inference problem in a decent ...

EPFL2022

Differentially Private Multi-Agent Constraint Optimization

Boi Faltings, Sujit Prakash Gujar, Aleksei Triastcyn, Sankarshan Damle

Several optimization scenarios involve multiple agents that desire to protect the privacy of their preferences. There are distributed algorithms for constraint optimization that provide improved privacy protection through secure multiparty computation. How ...

ACM2022

Strategic Objectives For State-Owned Enterprises As A Means To Mitigate Political Interference: An Empirical Analysis Of Two Swiss State-Owned Enterprises

Matthias Finger, Fabian Liechti

When governments act as owners of state-owned enterprises (SOEs), they are both principal and agent at the same time. The literature on steering SOEs has mainly focused on the government as the principal that must control SOEs. However, the government is a ...

WILEY2019

Exploring The Borderlands Of The Gathering Problem

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Vladislav Tempez

Problems of pattern formation have been extensively studied in distributed computing. One of this problems is the gathering problem: agents must gather at a same position in a distributed manner. When gathering is not possible, a close problem is the conve ...

2019

Distributed Coupled Learning Over Adaptive Networks

Ali H. Sayed, Sulaiman A S A E Alghunaim

This work develops an effective distributed algorithm for the solution of stochastic optimization problems that involve partial coupling among both local constraints and local cost functions. While the collection of networked agents is interested in discov ...

IEEE2018

Epigenetic approach for angiostatic therapy: promising combinations for cancer treatment

Paul Joseph Dyson, Patrycja Nowak-Sliwinska, Ume-Gulsoom Abdul, Marije Trudi Te Winkel

Cancer cells are often dependent on epigenetic pathways for their survival. Consequently, drugs that target the epigenome, rather than the underlying DNA sequence, are currently attracting considerable attention. In recent years, the first epigenetic drugs ...

Springer Verlag2017

Diffusion LMS over multitask networks with noisy links

Ali H. Sayed, Jie Chen, Roula Nassif

Diffusion LMS is an efficient strategy for solving distributed optimization problems with cooperating agents. In some applications, the optimum parameter vectors may not be the same for all agents. Moreover, agents usually exchange information through nois ...

IEEE2016

Dynamic NoC buffer allocation for MPSoC timing side channel attack protection

Mathias Soeken

Multi-Processors Systems-on-Chip (MPSoCs), as a key technology enabler of the new computation paradigm Internet-of-Things (IoT), are exposed to attacks. Malicious applications can be downloaded at runtime to the MPSoC, infect IPs and open doors to perform ...

IEEE2016

Evolving Teams of Cooperating Agents for Real-Time Strategy Game

Pawel Lichocki

We apply gene expression programing to evolve a player for a real-time strategy (RTS) video game. The paper describes the game, evolutionary encoding of strategies and the technical implementation of experimental framework. In the experimental part, we com ...

Springer-Verlag2009

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