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In this work, we introduce the Resilient Projected Push-Pull (RP3) algorithm designed for distributed optimization in multi-agent cyber-physical systems with directed communication graphs and the presence of malicious agents. Our algorithm leverages
Externí odkaz:
http://arxiv.org/abs/2407.06541
Autor:
Nguyen, Duong Thuy Anh, Bianchi, Mattia, Dörfler, Florian, Nguyen, Duong Tung, Nedić, Angelia
Motivated by the complex dynamics of cooperative and competitive interactions within networked agent systems, multi-cluster games provide a framework for modeling the interconnected goals of self-interested clusters of agents. For this setup, the exi
Externí odkaz:
http://arxiv.org/abs/2404.14554
Hexagonal boron nitride (hBN) holds promise as a solid state, van der Waals host of single photon emitters for on-chip quantum photonics. The B-centre defect emitting at 436 nm is particularly compelling as it can be generated by electron beam irradi
Externí odkaz:
http://arxiv.org/abs/2404.09440
Autor:
Wang, Yongqiang, Nedic, Angelia
We address differential privacy for fully distributed optimization subject to a shared inequality constraint. By co-designing the distributed optimization mechanism and the differential-privacy noise injection mechanism, we propose the first distribu
Externí odkaz:
http://arxiv.org/abs/2404.02327
Autor:
Chakraborty, Abhishek, Nedić, Angelia
We consider the mirror-prox algorithm for solving monotone Variational Inequality (VI) problems. As the mirror-prox algorithm is not practically implementable, except in special instances of VIs (such as affine VIs), we consider its implementation wi
Externí odkaz:
http://arxiv.org/abs/2404.00635
In this work, we consider the consensus problem in which legitimate agents share their values over an undirected communication network in the presence of malicious or faulty agents. Different from the previous works, we characterize the conditions th
Externí odkaz:
http://arxiv.org/abs/2403.17907
In this paper, we introduce an accelerated distributed stochastic gradient method with momentum for solving the distributed optimization problem, where a group of $n$ agents collaboratively minimize the average of the local objective functions over a
Externí odkaz:
http://arxiv.org/abs/2402.09714
Autor:
Chakraborty, Abhishek, Nedić, Angelia
This paper considers a variational inequality (VI) problem arising from a game among multiple agents, where each agent aims to minimize its own cost function subject to its constrained set represented as the intersection of a (possibly infinite) numb
Externí odkaz:
http://arxiv.org/abs/2402.05462
Autor:
Cáceres-Aravena, Gabriel, Nedić, Milica, Vildoso, Paloma, Gligorić, Goran, Petrovic, Jovana, Vicencio, Rodrigo A., Maluckov, Aleksandra
Systems with engineered flatband spectra are a postulate of high-capacity transmission links and a candidate for high-temperature superconductivity. However, their operation relies on the edge or surface modes susceptible to fluctuations and fabricat
Externí odkaz:
http://arxiv.org/abs/2401.12949
Autor:
Gil, Stephanie, Yemini, Michal, Chorti, Arsenia, Nedić, Angelia, Poor, H. Vincent, Goldsmith, Andrea J.
Multi-agent cyberphysical systems enable new capabilities in efficiency, resilience, and security. The unique characteristics of these systems prompt a reevaluation of their security concepts, including their vulnerabilities, and mechanisms to mitiga
Externí odkaz:
http://arxiv.org/abs/2311.07492