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Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus, Yifan Sun, Suhas Diggavi +1
Slow running or straggler tasks can significantly reduce computation speed in distributed computation. Recently, coding-theory-inspired approaches have been applied to mitigate the…
Approximate Capacity of Fast Fading Interference Channels with No Instantaneous CSIT
Joyson Sebastian, Can Karakus, Suhas Diggavi
We develop a characterization of fading models, which assigns a number called logarithmic Jensen's gap to a given fading model. We show that as a consequence of a finite logarithmi…
Models and information-theoretic bounds for nanopore sequencing
Wei Mao, Suhas Diggavi, Sreeram Kannan
Nanopore sequencing is an emerging new technology for sequencing DNA, which can read long fragments of DNA (~50,000 bases) in contrast to most current short-read sequencing technol…
Generalized Degrees Freedom of Noncoherent MIMO Channels with Asymmetric Link Strengths
Joyson Sebastian, Suhas. N. Diggavi
We study the generalized degrees of freedom (gDoF) of block-fading noncoherent multiple input multiple output (MIMO) channels with asymmetric distributions of link strengths and a…
Caching with Partial Adaptive Matching
Jad Hachem, Nikhil Karamchandani, Sharayu Moharir +1
We study the caching problem when we are allowed to match each user to one of a subset of caches after its request is revealed. We focus on non-uniformly popular content, specifica…
A Distortion Based Approach for Protecting Inferences
Chi-Yo Tsai, Gaurav Kumar Agarwal, Christina Fragouli +1
Eavesdropping attacks in inference systems aim to learn not the raw data, but the system inferences to predict and manipulate system actions. We argue that conventional information…