Leah Dickstein, Vasuki Narasimha Swamy, G. Ranade, A. Sahai
{"title":"Finite block length coding for low-latency high-reliability wireless communication","authors":"Leah Dickstein, Vasuki Narasimha Swamy, G. Ranade, A. Sahai","doi":"10.1109/ALLERTON.2016.7852331","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852331","url":null,"abstract":"This paper takes a step towards making practical cooperative protocols for wireless low-latency high-reliability communication. We consider the effect of finite block-length error correction codes and the main message is that the demands on the error-correcting code are different in different phases of a diversity-seeking cooperative protocol: In the first hop where messages must reach potential relays, the code only has to achieve a moderate probability of error. The final hop from relays to the destination is where the code must be ultrareliable. The results are illustrated in the context of a simple concatenated Hamming+Reed Solomon code.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134028125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Motif-driven graph analysis","authors":"Charalampos E. Tsourakakis","doi":"10.1109/ALLERTON.2016.7852328","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852328","url":null,"abstract":"In this talk I will present data-driven algorithms for dense subgraph discovery [11], [16], and community detection [18] respectively. The proposed algorithms leverage graph motifs to attack the large near-clique detection problem, and community detection respectively. In my talk, I will focus on triangles within graphs, but our techniques extend to other motifs as well. The intuition, that has been suggested but not formalized similarly in previous works, is that triangles are a better signature of community than edges. For both problems, we provide theoretical results, we design efficient algorithms, and then show the effectiveness of our methods to multiple applications in machine learning and graph mining.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132276822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards fast algorithms for estimating Personalized PageRank using commonly generated random walks","authors":"Daniel Vial, V. Subramanian","doi":"10.1109/ALLERTON.2016.7852322","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852322","url":null,"abstract":"Personalized PageRank (PPR) is a measure of the importance of the nodes in graph G = (V, E) from the perspective of some s ∈ V. PPR has been used in many applications, such as recommending who a user should follow on Twitter [6]. Due to the scale of networks of interest, precomputing PPR requires prohibitive storage, while computing exactly at query time is slow. As such, many PPR estimation algorithms have been proposed.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Necessary and sufficient conditions for sketched subspace clustering","authors":"Daniel L. Pimentel-Alarcón, L. Balzano, R. Nowak","doi":"10.1109/ALLERTON.2016.7852389","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852389","url":null,"abstract":"This paper is about an interesting phenomenon: two r-dimensional subspaces, even if they are orthogonal to one an other, can appear identical if they are only observed on a subset of coordinates. Understanding this phenomenon is of particular importance for many modern applications of subspace clustering where one would like to subsample in order to improve computational efficiency. Examples include real-time video surveillance and datasets so large that cannot even be stored in memory. In this paper we introduce a new metric between subspaces, which we call partial coordinate discrepancy. This metric captures a notion of similarity between subsampled subspaces that is not captured by other distance measures between subspaces. With this, we are able to show that subspace clustering is theoretically possible in lieu of coherence assumptions using only r + 1 rows of the dataset at hand. This gives precise information-theoretic necessary and sufficient conditions for sketched subspace clustering. This can greatly improve computational efficiency without compromising performance. We complement our theoretical analysis with synthetic and real data experiments.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Replicated convolutional codes: A design framework for repair-efficient distributed storage codes","authors":"Bing Zhu, Xin Li, Hui Li, K. Shum","doi":"10.1109/ALLERTON.2016.7852346","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852346","url":null,"abstract":"Erasure-coded distributed storage systems can offer reliable storage services in a cost-effective manner. However, when disk failures occur in such systems, it is desirable to recreate the lost data with the help of surviving nodes to preserve the data redundancy. A key requirement during the recover process is to minimize the repair locality and computational complexity. We propose a simple framework for constructing storage codes that yield small repair locality and low repair complexity. The basic idea behind this framework is to take multiple instances of convolutional (tail-biting) codes, and then carefully arrange the coded symbols on storage nodes. The resultant codes enjoy the desirable repair-by-transfer property, and perform efficient repair by simple XOR operations. Moreover, we also evaluate the proposed codes atop an HDFS cluster testbed and compare the empirical performance with state-of-the-art repair-efficient storage codes.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123904407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rigid formation control with nonlinear passive actuation","authors":"B. W. Lan, S. Dasgupta","doi":"10.1109/ALLERTON.2016.7852267","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852267","url":null,"abstract":"This paper presents a distributed control law that locally forces a group of agents to self-organize into a rigid formation specified by a subset of interagent distances. The control law presented here is distributed as its execution requires each agent to only sense its relative positions with its neighbors, i.e. agents with whom they share a specified desired distance, and its own velocity. The paper extends [13], [17], and [18]. In [13] each agent is modeled as a single integrator. On the other hand, [17] assumes double integrator dynamics but requires that agents can also sense the velocities of their neighbors, doubling the communication/sensing overhead. In [18] the agent velocities are generated by the actuation signals through a Linear Time Invariant Positive Real dynamics. Double integrator dynamics are a special case of this. Unlike [17] no agent needs its neighbor's velocities. This paper on its parts relaxes the assumption of linear time invariance and instead assumes that the actuation to velocity dynamics of each agent is nonlinear but passive. We prove that the control law of [18] still guarantees local stability despite the presence of nonlinear actuation dynamics. We argue that, like [13], [17] and [18], no law for this problem can be globally stable.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124550905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On distributed computation of optimal control of traffic flow over networks","authors":"Qin Ba, K. Savla","doi":"10.1109/ALLERTON.2016.7852358","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852358","url":null,"abstract":"In this paper, we adapt the Alternating Direction Method of Multipliers (ADMM) to develop a distributed algorithm for computing finite horizon optimal control for traffic flow over networks, where the cost is in terms of the density and flow vectors. The dynamics is described by the Cell Transmission Model. While the problem is non-convex in general, recent work has shown the existence of an equivalent convex relaxation, which we adopt in this paper. An equivalent finite dimensional representation for constraints is developed when the external inflows and control are piecewise constant. The auxiliary variables for ADMM implementation consist of a time shifted copy of the density vector, and two copies of the flow vector. A particular division of these variables into two blocks is provided which facilitates distributed implementation, as well as convergence of the ADMM iterates to an optimal solution, if the initial density on every link is strictly positive and strictly below the jam capacity, and the cost function is proper, closed, convex, and separable over density and flow variables, and over links. We also examine the necessary condition, as given by the maximum principle, to provide sufficient conditions under which the optimal control is unique for non-strict convex cost functions, and of bang-bang type, for a linear network.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"87 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Secure system identification","authors":"M. Showkatbakhsh, P. Tabuada, S. Diggavi","doi":"10.1109/ALLERTON.2016.7852363","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852363","url":null,"abstract":"This work is concerned with the identification of linear time-invariant systems in the presence of an adversarial agent that attacks sensor measurements. The attacker is omniscient and we impose no restrictions (statistical or otherwise) on how the adversary alters the sensor measurements. We work in a noisy scenario where, in addition to the attacks, the sensor measurements are also affected by additive noise. Given a bound on the number of attacked sensors, and under a certain observability condition, we show that we can still construct a model that is useful for stabilization. Furthermore, we show that this model is closely related to the original system.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123690771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Equilibrium analysis for a leader-follower game with noisy observations: A pace forward in Witsenhausen's counterexample conjecture","authors":"A. Ajorlou, A. Jadbabaie","doi":"10.1109/ALLERTON.2016.7852232","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852232","url":null,"abstract":"In this paper, we view Witsenhausen's problem as a leader-follower coordination game in which the action of the leader is corrupted by an additive normal noise, before reaching the follower. The leader who observes the realization of the state, chooses an action that minimizes her distance to the state of the world and the ex-ante expected deviation from the follower's action. The follower then makes a noisy observation of the leader's action and chooses an action minimizing her expected deviation from the leader's action. To this end, we analyze the perfect Bayesian equilibria of this game and show that strong complimentarily between the leader and the follower combined with a prior with poor enough precision can give rise to what we call “near piecewise-linear equilibria”. As a major consequence, we prove local optimality of a class of slopey quantization strategies which had been suspected of being the optimal solution in the past, based on numerical evidence for Witsenhausen's counterexample.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123712916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quickest search for local structures in line networks","authors":"Javad Heydari, A. Tajer","doi":"10.1109/ALLERTON.2016.7852219","DOIUrl":"https://doi.org/10.1109/ALLERTON.2016.7852219","url":null,"abstract":"A large network of agents in which each agent generates one random variable is considered. The random variables generated by an unknown subset of nodes form a correlation structure, while the remaining nodes generate independent and identically distributed random variables. This paper formalizes and analyzes the quickest search strategy, the goal of which is to identify the unknown subset of correlated nodes with the fewest number of measurements. Despite its widespread applications, the problem of identifying subnetworks with such desired correlation structures is often investigated under the fixed sample-size setting, in which the data acquisition process and the inferential mechanisms are decoupled. Motivated by the significant advantages of sequential detection for agile inference, this paper analyzes this problem under a fully sequential setting. Specifically, it formalizes a framework that incorporates the intertwined processes of data-adaptive information gathering and decision making. Additionally, through a constructive proof, it also offers an optimal sequential data-gathering process as well as the attendant decision rules for identifying a structured subnetwork of interest in a given line network.","PeriodicalId":102145,"journal":{"name":"2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}