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08/28/2023
XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples
It is estimated that approximately 15 viral infections. The viruses that...
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02/21/2023
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information
Automotive radar has increasingly attracted attention due to growing int...
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01/21/2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
Heterogeneity of data distributed across clients limits the performance ...
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06/01/2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
Federated learning (FL) is a privacy-promoting framework that enables po...
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05/13/2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
Federated learning systems facilitate training of global models in setti...
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03/08/2022
End-to-end system for object detection from sub-sampled radar data
Robust and accurate sensing is of critical importance for advancing auto...
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12/18/2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Federated learning (FL) enables distribution of machine learning workloa...
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03/24/2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Pervasive computing applications commonly involve user's personal smartp...
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11/20/2020
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
In decentralized optimization, it is common algorithmic practice to have...
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11/16/2020
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder
Identification of the type of communication technology and/or modulation...
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07/30/2020
Communication-Efficient Federated Learning via Optimal Client Sampling
Federated learning is a private and efficient framework for learning mod...
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03/01/2020
Federating Recommendations Using Differentially Private Prototypes
Machine learning methods allow us to make recommendations to users in ap...
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12/27/2019
Evolutionary Clustering via Message Passing
We are often interested in clustering objects that evolve over time and ...
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12/25/2019
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning)
Relational properties, e.g., the connectivity structure of nodes in a di...
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11/27/2019
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
Background: Haplotypes, the ordered lists of single nucleotide variation...
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11/13/2019
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Reconstructing components of a genomic mixture from data obtained by mea...
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09/27/2019
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach
A variety of queries about stochastic systems boil down to study of Mark...
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07/22/2019
Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization
Many problems in discrete optimization can be formulated as the task of ...
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10/29/2018
Evolutionary Self-Expressive Models for Subspace Clustering
The problem of organizing data that evolves over time into clusters is e...
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06/13/2018
Matrix Completion and Performance Guarantees for Single Individual Haplotyping
Single individual haplotyping is an NP-hard problem that emerges when at...
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10/31/2017
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
We study the problem of sampling a bandlimited graph signal in the prese...
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10/31/2017
Accelerated Sparse Subspace Clustering
State-of-the-art algorithms for sparse subspace clustering perform spect...
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08/08/2016
Sparse recovery via Orthogonal Least-Squares under presence of Noise
We consider the Orthogonal Least-Squares (OLS) algorithm for the recover...
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08/08/2016
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares
The Orthogonal Least Squares (OLS) algorithm sequentially selects column...
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02/22/2016
Sparse Linear Regression via Generalized Orthogonal Least-Squares
Sparse linear regression, which entails finding a sparse solution to an ...
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11/19/2014
