5 citations · 6 across the 10 of their papers we have counts for
12 papers
Fundamental Limits of Non-Adaptive Group Testing with Markovian Correlation
Aditya Narayan Ravi, Ilan Shomorony
We study a correlated group testing model where items are infected according to a Markov chain, which creates bursty binfection patterns. Focusing on a very sparse infections regim…
Reducing Data Fragmentation in Data Deduplication Systems via Partial Repetition and Coding
Yun-Han Li, Jin Sima, Ilan Shomorony +1
Data deduplication, one of the key features of modern Big Data storage devices, is the process of removing replicas of data chunks stored by different users. Despite the importance…
BanditPAM++: Faster -medoids Clustering
Mo Tiwari, Ryan Kang, Donghyun Lee +4
Clustering is a fundamental task in data science with wide-ranging applications. In -medoids clustering, cluster centers must be actual datapoints and arbitrary distance metrics…
Utilizing Free Clients in Federated Learning for Focused Model Enhancement
Aditya Narayan Ravi, Ilan Shomorony
Federated Learning (FL) is a distributed machine learning approach to learn models on decentralized heterogeneous data, without the need for clients to share their data. Many exist…
Fundamental Limits of Reference-Based Sequence Reordering
Nir Weinberger, Ilan Shomorony
The problem of reconstructing a sequence of independent and identically distributed symbols from a set of equal size, consecutive, fragments, as well as a dependent reference seque…
Fundamental Limits of Multiple Sequence Reconstruction from Substrings
Kel Levick, Ilan Shomorony
The problem of reconstructing a sequence from the set of its length- substrings has received considerable attention due to its various applications in genomics. We study an unco…