Publications

Peer-reviewed papers, preprints, and edited proceedings, newest first. I publish as K. R. Jayaram.

52 entries. The full record lives on DBLP and Google Scholar.

2026

VOILA: Value-of-Information Guided Fidelity Selection for Cost-Aware Multimodal Question Answering Rahul Atul Bhope, K. R. Jayaram, Vinod Muthusamy, Ritesh Kumar, Vatche Isahagian, Nalini Venkatasubramanian arXiv, 2026·arXiv
Trajectory-Informed Memory Generation for Self-Improving Agent Systems Gaodan Fang, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas arXiv, 2026·arXiv

2025

Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning Rahul Atul Bhope, K. R. Jayaram, Praveen Venkateswaran, Nalini Venkatasubramanian Middleware, 2025·arXiv·DOI
Performance of Confidential Computing GPUs Antonio Martinez Ibarra, Julian James Stephen, Aurora Gonzalez-Vidal, K. R. Jayaram, Antonio Fernandez Gomez-Skarmeta arXiv, 2025·arXiv
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian EMNLP Findings, 2025·arXiv·DOI
On Automating Security Policies with Contemporary LLMs (Short Paper) Pablo Fernandez Saura, K. R. Jayaram, Vatche Isahagian, Jorge Bernal Bernabe, Antonio F. Skarmeta IEEE SSE, 2025·arXiv·DOI
In-Context Example Ordering for LLM-Based API Sequence Generation Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian Middleware (Demos & Posters), 2025·DOI
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows Evelyn Duesterwald, Siyu Huo, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Debashish Saha, Gegi Thomas, Praveen Venkateswaran EMNLP Industry Track, 2025·arXiv·DOI

2024

DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma EuroSys, 2024·DOI
A Conversational Assistant Framework for Automation Evelyn Duesterwald, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas, Praveen Venkateswaran Middleware Industrial Track, 2024·DOI

2023

On Serving Image Classification Models Aurora Gonzalez-Vidal, Alexander Isenko, K. R. Jayaram WoSC, 2023·DOI
FLIPS: Federated Learning using Intelligent Participant Selection Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas Middleware, 2023·arXiv·DOI

2022

Private Parameter Aggregation for Federated Learning K. R. Jayaram, Ashish Verma Book chapter, 2022·DOI
Just-in-Time Aggregation for Federated Learning K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy MASCOTS, 2022·arXiv·DOI
Adaptive Aggregation For Federated Learning K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell IEEE Big Data, 2022·arXiv·DOI

2021

Separation of Powers in Federated Learning (Poster Paper) Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma ResilientFL @ SOSP, 2021·arXiv·DOI

2020

Workshop 19: ScaDL Scalable Deep Learning over Parallel and Distributed Infrastructures Ashish Verma, Christopher D. Carothers, K. R. Jayaram, Parijat Dube IPDPS Workshops, 2020·DOI
MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard IEEE CLOUD, 2020·arXiv·DOI
Effective Elastic Scaling of Deep Learning Workloads Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma MASCOTS, 2020·arXiv·DOI

2019

FfDL: A Flexible Multi-tenant Deep Learning Platform K. R. Jayaram, Vinod Muthusamy, Parijat Dube, Vatche Ishakian, Chen Wang, Benjamin Herta, Scott Boag, Diana Arroyo, Asser N. Tantawi, Archit Verma, Falk Pollok, Rania Khalaf Middleware, 2019·arXiv·DOI
Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study K. R. Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao IEEE ICAC, 2019·DOI

2018

Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform Scott Boag, Parijat Dube, Kaoutar El Maghraoui, Benjamin Herta, Waldemar Hummer, K. R. Jayaram, Rania Khalaf, Vinod Muthusamy, Michael H. Kalantar, Archit Verma DSN, 2018·arXiv·DOI

2017

Software Architectures for Self-protection in IaaS Clouds K. R. Jayaram, Aleksandar Milenkoski, Samuel Kounev Book chapter, 2017·DOI
Scalable, Efficient Anonymization with INCOGNITO - Framework & Antorweep Chakravorty, Chunming Rong, K. R. Jayaram, Shu Tao IEEE BigData Congress, 2017·DOI
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11 - 15, 2017edited K. R. Jayaram, Anshul Gandhi, Bettina Kemme, Peter R. Pietzuch Middleware 2017 (proceedings), 2017·DOI
IBM Deep Learning Service Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi, Parijat Dube, Ben Herta, Vatche Ishakian, K. R. Jayaram, Rania Khalaf, Avesh Krishna, Yu Bo Li, Vinod Muthusamy, Ruchir Puri, Yufei Ren, Florian Rosenberg, Seetharami R. Seelam, Yi Wang, Jian Ming Zhang, Li Zhang IBM J. Res. Dev., 2017·arXiv·DOI
Benchmarking Intrusion Detection Systems with Adaptive Provisioning of Virtualized Resources Aleksandar Milenkoski, K. R. Jayaram, Samuel Kounev Book chapter, 2017·DOI
Agile Composition of Compliant Data Analytics Platforms Michael Le, K. R. Jayaram, Yaron Weinsberg, Daniel J. Dean, Shu Tao IEEE IC2E, 2017·DOI

2016

Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments Aleksandar Milenkoski, K. R. Jayaram, Nuno Antunes, Marco Vieira, Samuel Kounev ISSRE, 2016·DOI
Exploiting Causality to Engineer Elastic Distributed Software K. R. Jayaram ICDCS, 2016·DOI

2015

Towards Explicitly Elastic Programming Frameworks K. R. Jayaram ICSE, 2015·DOI
Subscription Normalization for Effective Content-Based Messaging K. R. Jayaram, Weihang Wang, Patrick Eugster IEEE TPDS, 2015·DOI
Proceedings of the Industrial Track of the 16th International Middleware Conference, Middleware Industry 2015, Vancouver, BC, Canada, December 7-11, 2015edited K. R. Jayaram, Michael A. Kozuch Middleware 2015 Industrial Track (proceedings), 2015·DOI

2014

Trustworthy geographically fenced hybrid clouds K. R. Jayaram, David Safford, Upendra Sharma, Vijay K. Naik, Dimitrios E. Pendarakis, Shu Tao Middleware, 2014·DOI
Fast, expressive top-k matching William Culhane, K. R. Jayaram, Patrick Eugster Middleware, 2014·DOI
Decentralized Fault-Tolerant Event Correlation Gregory Aaron Wilkin, Patrick Eugster, K. R. Jayaram ACM TOIT, 2014·DOI

2013

Views and Transactional Storage for Large GraphsBest Paper Michael Mihn-Jong Lee, Indrajit Roy, Alvin AuYoung, Vanish Talwar, K. R. Jayaram, Yuanyuan Zhou Middleware, 2013·DOI
Parametric Content-Based Publish/Subscribe K. R. Jayaram, Patrick Eugster, Chamikara Jayalath ACM TOCS, 2013·DOI
Elastic Remote Methods K. R. Jayaram Middleware, 2013·arXiv·DOI

2012

Brief Announcement: Weighted Partial Message Matching for Implicit Multicast Systems William Culhane, K. R. Jayaram, Patrick Eugster DISC, 2012·DOI
Abstracting Context in Event-Based Software Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster LNCS TAOSD, 2012·DOI

2011

Split and Subsume: Subscription Normalization for Effective Content-Based Messaging K. R. Jayaram, Patrick Eugster ICDCS, 2011·DOI
Putting events in context: aspects for event-based distributed programming Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster AOSD, 2011·DOI
Program analysis for event-based distributed systems K. R. Jayaram, Patrick Eugster DEBS, 2011·DOI
FAIDECS: Fair Decentralized Event Correlation Gregory Aaron Wilkin, K. R. Jayaram, Patrick Eugster, Ankur Khetrapal Middleware, 2011·DOI

2010

Scalable Efficient Composite Event Detection K. R. Jayaram, Patrick Th. Eugster COORDINATION, 2010·DOI
Parametric Subscriptions for Content-Based Publish/Subscribe NetworksBest Paper K. R. Jayaram, Chamikara Jayalath, Patrick Eugster Middleware, 2010·DOI

2009

EventJava: An Extension of Java for Event Correlation Patrick Th. Eugster, K. R. Jayaram ECOOP, 2009·DOI
Context-oriented programming with EventJava K. R. Jayaram, Patrick Eugster COP @ ECOOP, 2009·DOI

2008

On the Adequacy of Statecharts as a Source of Tests for Cryptographic Protocols K. R. Jayaram, Aditya P. Mathur COMPSAC, 2008·DOI
Lazy argument passing in Java RMI Christopher Line, K. R. Jayaram, Patrick Eugster PPPJ, 2008·DOI

2006

Identifying andTesting for Insecure Paths in Cryptographic Protocol Implementations K. R. Jayaram COMPSAC, 2006·DOI