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This paper studies the worst case iteration complexity of an infeasible interior point method (IPM) for seconder order cone programming (SOCP), which is more convenient for warmstarting compared with feasible IPMs. The method studied bases…

Optimization and Control · Mathematics 2023-01-25 Yushu Chen , Guangwen Yang , Lu Wang , Qingzhong Gan , Haipeng Chen

Energy harvesting is a promising solution to power Internet of Things (IoT) devices. Due to the intermittent nature of these energy sources, one cannot guarantee forward progress of program execution. Prior work has advocated for…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-07 Zahra Ghodsi , Siddharth Garg , Ramesh Karri

A method of top tagging is introduced. Using the anti-kt algorithm to define jets, events with nj = 2 fat jets of cone size R = 1.5 are decomposed into R = 0.6 sub-jets and retained if nj (R= 0.6) \geq 4 . One pair of sub-jets reconstructs…

High Energy Physics - Phenomenology · Physics 2011-10-12 Vernon Barger , Peisi Huang

In the Industrial Internet of Things (IoT), a large amount of data will be generated every day. Due to privacy and security issues, it is difficult to collect all these data together to train deep learning models, thus the federated…

Machine Learning · Computer Science 2024-03-25 Jianjun Huang , Lixin Ye , Li Kang

We introduce a new class of event shapes to characterize the jet-like structure of an event. Like traditional event shapes, our observables are infrared/collinear safe and involve a sum over all hadrons in an event, but like a jet…

High Energy Physics - Phenomenology · Physics 2015-06-17 Daniele Bertolini , Tucker Chan , Jesse Thaler

Stealthy sensor injection attacks are serious threats for industrial plants as they can compromise the plant's integrity without being detected by traditional fault detectors. In this manuscript, we study the possibility of revealing the…

Systems and Control · Electrical Eng. & Systems 2023-07-25 Cédric Escudero , Michelle S. Chong , Paolo Massioni , Eric Zamaï

We compare the abilities of the cluster-type jet algorithm, KtJet, and a mid-point iterating cone algorithm to reconstruct the top mass at the LHC. We discuss the information contained in the merging scales of cluster-type algorithms, and…

High Energy Physics - Phenomenology · Physics 2009-11-11 Michael H. Seymour , Christopher Tevlin

We introduce CheckNet, a method for secure inference with deep neural networks on untrusted devices. CheckNet is like a checksum for neural network inference: it verifies the integrity of the inference computation performed by untrusted…

Machine Learning · Computer Science 2019-06-18 Marcus Comiter , Surat Teerapittayanon , H. T. Kung

This paper considers a class of wireline networks, derived from the well-known butterfly network, over which two independent unicast sessions take place simultaneously. The main objectives are to understand when network coding type of…

Information Theory · Computer Science 2018-10-16 Gaurav Kumar Agarwal , Martina Cardone , Christina Fragouli

In this paper we study aspects of top tagging from first principles of QCD. We find that the method known as the CMS top tagger becomes collinear unsafe at high $p_t$ and propose variants thereof which are IRC safe, and hence suitable for…

High Energy Physics - Phenomenology · Physics 2018-10-17 Mrinal Dasgupta , Marco Guzzi , Jacob Rawling , Gregory Soyez

Jet finding is a type of optimization problem, where hadrons from a high-energy collision event are grouped into jets based on a clustering criterion. As three interesting examples, one can form a jet cluster that (1) optimizes the overall…

High Energy Physics - Phenomenology · Physics 2015-10-08 Jesse Thaler

In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI…

Artificial Intelligence · Computer Science 2016-10-26 Roman V. Yampolskiy , M. S. Spellchecker

This paper presents an approach to deal with safety of dynamical systems in presence of multiple non-convex unsafe sets. While optimal control and model predictive control strategies can be employed in these scenarios, they suffer from high…

Systems and Control · Electrical Eng. & Systems 2021-06-14 Gennaro Notomista , Matteo Saveriano

With the development and progress of science and technology, the Internet of Things(IoT) has gradually entered people's lives, bringing great convenience to our lives and improving people's work efficiency. Specifically, the IoT can replace…

Machine Learning · Computer Science 2022-12-29 Pei Li , Zhijun Liu , Luyi Chang , Jialiang Peng , Yi Wu

There is a serious problem with one of the assumptions made in the security proof of the SURF scheme. This problem turns out to be easy in the regime of parameters needed for the SURF scheme to work. We give afterwards the old version of…

Cryptography and Security · Computer Science 2017-12-01 Thomas Debris-Alazard , Nicolas Sendrier , Jean-Pierre Tillich

The jet shape is a simple measure of how widely a jet's energy is spread. At present jet shape distributions have only been calculated to leading order in perturbative QCD. In this paper we consider how much these predictions should be…

High Energy Physics - Phenomenology · Physics 2009-10-30 Michael H. Seymour

Certificates ensure the authenticity of users' public keys, however their overhead (e.g., certificate chains) might be too costly for some IoT systems like aerial drones. Certificate-free cryptosystems, like identity-based and…

Cryptography and Security · Computer Science 2021-03-18 Rouzbeh Behnia , Attila A. Yavuz , Muslum Ozgur Ozmen , Tsz Hon Yuen

Inaccurate circuits make possible the conservation of limited resources, such as energy. But effective design of such circuits requires an understanding of resulting tradeoffs between accuracy and design parameters, such as voltages and…

Numerical Analysis · Computer Science 2016-06-07 Zvi M. Kedem , Kirthi Krishna Muntimadugu

We introduce a new jet substructure technique called "soft drop declustering", which recursively removes soft wide-angle radiation from a jet. The soft drop algorithm depends on two parameters--a soft threshold $z_\text{cut}$ and an angular…

High Energy Physics - Phenomenology · Physics 2014-06-03 Andrew J. Larkoski , Simone Marzani , Gregory Soyez , Jesse Thaler

We develop a new interior-point method (IPM) for symmetric-cone optimization, a common generalization of linear, second-order-cone, and semidefinite programming. In contrast to classical IPMs, we update iterates with a geodesic of the cone…

Optimization and Control · Mathematics 2023-01-18 Frank Permenter