activity
20142026
most citedMulti-Model Federated Learning

31 citations · 53 across the 20 of their papers we have counts for

collaborators

28 papers

math.PR2026

Opinion Dynamics with Memory Loss and Communication Delays

Somya Singh, Sharayu Moharir, Neeraja Sahasrabudhe

We propose a novel framework for modeling binary opinions (0 or 1) of individuals connected through a weighted directed network, where edge weights quantify interpersonal influence…

cs.DC2023

On the Regret of Online Edge Service Hosting

R Sri Prakash, Nikhil Karamchandani, Sharayu Moharir

We consider the problem of service hosting where a service provider can dynamically rent edge resources via short term contracts to ensure better quality of service to its customer…

cs.NI2022

Regret-Optimal Online Caching for Adversarial and Stochastic Arrivals

Fathima Zarin Faizal, Priya Singh, Nikhil Karamchandani +1

We consider the online caching problem for a cache of limited size. In a time-slotted system, a user requests one file from a large catalog in each slot. If the requested file is c…

cs.NI2022★ 3 cited

Renting Edge Computing Resources for Service Hosting

Aadesh Madnaik, Sharayu Moharir, Nikhil Karamchandani

We consider the setting where a service is hosted on a third-party edge server deployed close to the users and a cloud server at a greater distance from the users. Due to the proxi…

cs.LG2022★ 1 cited

Multi-Model Federated Learning with Provable Guarantees

Neelkamal Bhuyan, Sharayu Moharir, Gauri Joshi

Federated Learning (FL) is a variant of distributed learning where edge devices collaborate to learn a model without sharing their data with the central server or each other. We re…

cs.LG2022★ 31 cited

Multi-Model Federated Learning

Neelkamal Bhuyan, Sharayu Moharir

Federated learning is a form of distributed learning with the key challenge being the non-identically distributed nature of the data in the participating clients. In this paper, we…

cs.NI2021

Online Partial Service Hosting at the Edge

V S Ch Lakshmi Narayana, Mohit Agarwala, R Sri Prakash +2

We consider the problem of service hosting where an application provider can dynamically rent edge computing resources and serve user requests from the edge to deliver a better qua…

eess.SY2020

Correlated Age-of-Information Bandits

Ishank Juneja, Santosh Fatale, Sharayu Moharir

We consider a system composed of a sensor node tracking a time varying quantity. In every discretized time slot, the node attempts to send an update to a central monitoring station…

cs.DS2020

Greedy k-Center from Noisy Distance Samples

Neharika Jali, Nikhil Karamchandani, Sharayu Moharir

We study a variant of the canonical k-center problem over a set of vertices in a metric space, where the underlying distances are apriori unknown. Instead, we can query an oracle w…

eess.SY2020

Decentralized Age-of-Information Bandits

Archiki Prasad, Vishal Jain, Sharayu Moharir

Age-of-Information (AoI) is a performance metric for scheduling systems that measures the freshness of the data available at the intended destination. AoI is formally defined as th…

math.OC2020

Dynamic social learning under graph constraints

Konstantin Avrachenkov, Vivek S. Borkar, Sharayu Moharir +1

We introduce a model of graph-constrained dynamic choice with reinforcement modeled by positively -homogeneous rewards. We show that its empirical process, which can be written…

cs.IT2020

Coded Caching for Heterogeneous Wireless Networks

Jad Hachem, Nikhil Karamchandani, Suhas Diggavi +1

This chapter provides an overview of coded caching in the context of heterogeneous wireless networks. We begin by briefly describing the key idea behind coded caching and then disc…

eess.SY2020

On Minimizing Channel-Aware Age of Information in a Multi-Sensor Setting

Bhishma Dedhia, Sharayu Moharir

We propose a variant of the Age of Information (AoI) metric called Channel-Aware Age of Information (CA-AoI). Unlike AoI, CA-AoI takes into account the channel conditions between t…

cs.SI2020

Influencing Opinion Dynamics in Networks with Limited Interaction

Anmol Gupta, Sharayu Moharir, Neeraja Sahasrabudhe

The focus of this work is on designing influencing strategies to shape the collective opinion of a network of individuals. We consider a variant of the voter model where opinions e…

math.OC2020

Duopolistic platform competition for revenue and throughput

Mansi Sood, Ankur A. Kulkarni, Sharayu Moharir

We consider two competing platforms operating in a two-sided market and offering identical services to their customers at potentially different prices. The objective of each platfo…

eess.SY2020

Regret of Age-of-Information Bandits

Santosh Fatale, Kavya Bhandari, Urvidh Narula +2

We consider a system with a single source that measures/tracks a time-varying quantity and periodically attempts to report these measurements to a monitoring station. Each update f…

cs.NI2019★ 1 cited

RetroRenting: An Online Policy for Service Caching at the Edge

V S Ch Lakshmi Narayana, Sharayu Moharir, Nikhil Karamchandani

The rapid proliferation of shared edge computing platforms has enabled application service providers to deploy a wide variety of services with stringent latency and high bandwidth…

stat.ML2019

Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems

Aditya Narayan Ravi, Pranav Poduval, Sharayu Moharir

We use a novel modification of Multi-Armed Bandits to create a new model for recommendation systems. We model the recommendation system as a bandit seeking to maximize reward by pu…

cs.LG2019

Contextual Bandits Evolving Over Finite Time

Harsh Deshpande, Vishal Jain, Sharayu Moharir

Contextual bandits have the same exploration-exploitation trade-off as standard multi-armed bandits. On adding positive externalities that decay with time, this problem becomes muc…

cs.SI2019

Influencing Opinions of Heterogeneous Populations over Finite Time Horizons

Arunabh Saxena, Bhumesh Kumar, Anmol Gupta +2

In this work, we focus on strategies to influence the opinion dynamics of a well-connected society. We propose a generalization of the popular voter model. This variant of the vote…

cs.IT2018★ 11 cited

Effects of Storage Heterogeneity in Distributed Cache Systems

Kota Srinivas Reddy, Sharayu Moharir, Nikhil Karamchandani

In this work, we focus on distributed cache systems with non-uniform storage capacity across caches. We compare the performance of our system with the performance of a system with…

cs.IT2018★ 2 cited

Resource Pooling in Large-Scale Content Delivery Systems

Kota Srinivas Reddy, Sharayu Moharir, Nikhil Karamchandani

Content delivery networks are a key infrastructure component used by Video on Demand (VoD) services to deliver content over the Internet. We study a content delivery system consist…

cs.NI2017★ 2 cited

Caching under Content Freshness Constraints

Pawan Poojary, Sharayu Moharir, Krishna Jagannathan

Several real-time delay-sensitive applications pose varying degrees of freshness demands on the requested content. The performance of cache replacement policies that are agnostic t…

cs.IT2017

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…