research
∙
05/25/2023
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
In this paper, we consider the problem of learning a linear regression m...
share
research
∙
01/08/2023
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules
Vector-borne diseases (VBDs) are a kind of infection caused through the ...
research
∙
04/14/2022
Alternating Mahalanobis Distance Minimization for Stable and Accurate CP Decomposition
CP decomposition (CPD) is prevalent in chemometrics, signal processing, ...
research
∙
04/03/2022
Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management
The forests are significant assets for every country. When it gets destr...
research
∙
12/23/2021
Decentralized Multi-Task Stochastic Optimization With Compressed Communications
We consider a multi-agent network where each node has a stochastic (loca...
research
∙
07/29/2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Traditionally, federated learning (FL) aims to train a single global mod...
research
∙
06/15/2021
Augmented Tensor Decomposition with Stochastic Optimization
Tensor decompositions are powerful tools for dimensionality reduction an...
research
∙
06/14/2021
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
Existing tensor completion formulation mostly relies on partial observat...
research
∙
02/23/2021
QuPeL: Quantized Personalization with Applications to Federated Learning
Traditionally, federated learning (FL) aims to train a single global mod...
research
∙
05/13/2020
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization
In this paper, we consider the problem of communication-efficient decent...
research
∙
10/31/2019
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization
In this paper, we propose and analyze SPARQ-SGD, which is an event-trigg...
research
∙
10/27/2019