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Codes With Locality For Distributed Data Storage
(2017-07-26)
This thesis deals with the problem of code design in the setting of distributed storage systems consisting of multiple storage nodes, storing many different data les. A primary goal in such systems is the efficient repair ...
Coding Schemes For Distributed Subspace Computation, Distributed Storage And Local Correctability
(2017-07-24)
In this thesis, three problems have been considered and new coding schemes have been devised for each of them. The first is related to distributed function computation, the second to coding for distributed storage and the ...
Minimization Problems Based On A Parametric Family Of Relative Entropies
(2017-08-21)
We study minimization problems with respect to a one-parameter family of generalized relative entropies. These relative entropies, which we call relative -entropies (denoted I (P; Q)), arise as redundancies under mismatched ...
Belief Propagation and Algorithms for Mean-Field Combinatorial Optimisations
(2017-11-15)
We study combinatorial optimization problems on graphs in the mean-field model, which assigns independent and identically distributed random weights to the edges of the graph. Specifically, we focus on two generalizations ...
Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations
(2013-07-03)
Leakage current and process variations are two primary hurdles in modern VLSI design. It depends exponentially on process and environmental parameters and hence small variations in these result in a large spread in leakage ...
Anonymity With Authenticity
(2014-09-02)
Cryptography is science of secure message transmission. Cryptanalysis is involved with breaking these encrypted messages. Both cryptography and cryptanalysis constitute together to form cryptology.
Anonymity means ...
Non-Parametric Clustering of Multivariate Count Data
(2018-05-23)
The focus of this thesis is models for non-parametric clustering of multivariate count data. While there has been significant work in Bayesian non-parametric modelling in the last decade, in the context of mixture models ...