
Distributed Newton Can Communicate Less and Resist Byzantine Workers
We develop a distributed second order optimization algorithm that is com...
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An Efficient Framework for Clustered Federated Learning
We address the problem of Federated Learning (FL) where users are distri...
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ProblemComplexity Adaptive Model Selection for Stochastic Linear Bandits
We consider the problem of model selection for two popular stochastic li...
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Alternating Minimization Converges SuperLinearly for Mixed Linear Regression
We address the problem of solving mixed random linear equations. We have...
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CommunicationEfficient and ByzantineRobust Distributed Learning
We develop a communicationefficient distributed learning algorithm that...
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MaxAffine Regression: Provable, Tractable, and NearOptimal Statistical Estimation
Maxaffine regression refers to a model where the unknown regression fun...
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Robust Federated Learning in a Heterogeneous Environment
We study a recently proposed largescale distributed learning paradigm, ...
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Online Scoring with Delayed Information: A Convex Optimization Viewpoint
We consider a system where agents enter in an online fashion and are eva...
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Faster Dataaccess in Largescale Systems: Networkscale Latency Analysis under General Servicetime Distributions
In cloud storage systems with a large number of servers, files are typic...
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Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach
Ever since the introduction of the secretary problem, the notion of sele...
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An Evolutionary Approach to DrugDesign Using a Novel Neighbourhood Based Genetic Algorithm
The present work provides a new approach to evolve ligand structures whi...
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Multirobot Cooperative Boxpushing problem using Multiobjective Particle Swarm Optimization Technique
The present work provides a new approach to solve the wellknown multir...
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An Evolutionary Approach to DrugDesign Using Quantam Binary Particle Swarm Optimization Algorithm
The present work provides a new approach to evolve ligand structures whi...
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Avishek Ghosh
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