K. R. Jayaram

66 papers A 16B 6C 1Journal 22Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Trajectory-Informed Memory Generation for Self-Improving Agent Systems.
CoRR
Gaodan Fang, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas
2026 J jnl
VOILA: Value-of-Information Guided Fidelity Selection for Cost-Aware Multimodal Question Answering.
CoRR
Rahul Atul Bhope, K. R. Jayaram, Vinod Muthusamy, Ritesh Kumar, Vatche Isahagian, Nalini Venkatasubramanian
2025 — conf
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows.
EMNLP (Industry Track)
Evelyn Duesterwald, Siyu Huo, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Debashish Saha, Gegi Thomas, Praveen Venkateswaran
2025 J jnl
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows.
CoRR
Evelyn Duesterwald, Siyu Huo, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Debashish Saha, Gegi Thomas, Praveen Venkateswaran
2025 — conf
In-Context Example Ordering for LLM-Based API Sequence Generation.
Middleware Demos/Posters/Doctoral Symposium
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian
2025 — conf
On Automating Security Policies with Contemporary LLMs (Short Paper).
SSE
Pablo Fernández Saura, K. R. Jayaram, Vatche Isahagian, Jorge Bernal Bernabé, Antonio F. Skarmeta
2025 J jnl
On Automating Security Policies with Contemporary LLMs.
CoRR
Pablo Fernández Saura, K. R. Jayaram, Vatche Isahagian, Jorge Bernal Bernabé, Antonio F. Skarmeta
2025 J jnl
OptiSeq: Optimizing Example Ordering for In-Context Learning.
CoRR
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian
2025 — conf
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning.
EMNLP (Findings)
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian
2025 J jnl
Performance of Confidential Computing GPUs.
CoRR
Antonio Martínez Ibarra, Julian James Stephen, Aurora González-Vidal, K. R. Jayaram, Antonio Fernandez Gómez-Skarmeta
2025 A conf
Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning.
Middleware
Rahul Atul Bhope, K. R. Jayaram, Praveen Venkateswaran, Nalini Venkatasubramanian
2025 J jnl
Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning.
CoRR
Rahul Atul Bhope, K. R. Jayaram, Praveen Venkateswaran, Nalini Venkatasubramanian
2024 — conf
A Conversational Assistant Framework for Automation.
Middleware Industry
Evelyn Duesterwald, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas, Praveen Venkateswaran
2024 A conf
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation.
EuroSys
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2023 A conf
FLIPS: Federated Learning using Intelligent Participant Selection.
Middleware
Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas
2023 J jnl
FLIPS: Federated Learning using Intelligent Participant Selection.
CoRR
Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas
2023 — conf
On Serving Image Classification Models.
WOSC@Middleware
Aurora González-Vidal, Alexander Isenko, K. R. Jayaram
2022 B conf
Adaptive Aggregation For Federated Learning.
IEEE Big Data
K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell
2022 J jnl
Adaptive Aggregation For Federated Learning.
CoRR
K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell
2022 B conf
Just-in-Time Aggregation for Federated Learning.
MASCOTS
K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy
2022 J jnl
Just-in-Time Aggregation for Federated Learning.
CoRR
K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy
2022 — ch.
Private Parameter Aggregation for Federated Learning.
Federated Learning
K. R. Jayaram, Ashish Verma
2021 — conf
Separation of Powers in Federated Learning (Poster Paper).
ResilientFL
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2021 J jnl
Separation of Powers in Federated Learning.
CoRR
Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
2020 B conf
Effective Elastic Scaling of Deep Learning Workloads.
MASCOTS
Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma
2020 J jnl
Effective Elastic Scaling of Deep Learning Workloads.
CoRR
Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma
2020 J jnl
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent.
CoRR
K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard
2020 B conf
MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent.
CLOUD
K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard
2020 — conf
Workshop 19: ScaDL Scalable Deep Learning over Parallel and Distributed Infrastructures.
IPDPS Workshops
Ashish Verma, Christopher D. Carothers, K. R. Jayaram, Parijat Dube
2019 — conf
Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study.
ICAC
K. R. Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao
2019 J jnl
Elastic Remote Methods.
CoRR
K. R. Jayaram
2019 J jnl
FfDL : A Flexible Multi-tenant Deep Learning Platform.
CoRR
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
2019 A conf
FfDL: A Flexible Multi-tenant Deep Learning Platform.
Middleware
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
2018 — conf
Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform.
DSN Workshops
Scott Boag, Parijat Dube, Kaoutar El Maghraoui, Benjamin Herta, Waldemar Hummer, K. R. Jayaram, Rania Khalaf, Vinod Muthusamy, Michael H. Kalantar, Archit Verma
2018 J jnl
Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform.
CoRR
Scott Boag, Parijat Dube, Kaoutar El Maghraoui, Benjamin Herta, Waldemar Hummer, K. R. Jayaram, Rania Khalaf, Vinod Muthusamy, Michael H. Kalantar, Archit Verma
2017 B conf
Agile Composition of Compliant Data Analytics Platforms.
IC2E
Michael Le, K. R. Jayaram, Yaron Weinsberg, Daniel J. Dean, Shu Tao
2017 — ch.
Benchmarking Intrusion Detection Systems with Adaptive Provisioning of Virtualized Resources.
Self-Aware Computing Systems
Aleksandar Milenkoski, K. R. Jayaram, Samuel Kounev
2017 J jnl
IBM Deep Learning Service.
CoRR
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, Yandong Wang, Jian Ming Zhang, Li Zhang
2017 J jnl
IBM Deep Learning Service.
IBM J. Res. Dev.
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
2017 A ed.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11 - 15, 2017
Middleware
K. R. Jayaram, Anshul Gandhi, Bettina Kemme, Peter R. Pietzuch
2017 — conf
Scalable, Efficient Anonymization with INCOGNITO - Framework & Algorithm.
BigData Congress
Antorweep Chakravorty, Chunming Rong, K. R. Jayaram, Shu Tao
2017 — ch.
Software Architectures for Self-protection in IaaS Clouds.
Self-Aware Computing Systems
K. R. Jayaram, Aleksandar Milenkoski, Samuel Kounev
2016 A conf
Exploiting Causality to Engineer Elastic Distributed Software.
ICDCS
K. R. Jayaram
2016 A conf
Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments.
ISSRE
Aleksandar Milenkoski, K. R. Jayaram, Nuno Antunes, Marco Vieira, Samuel Kounev
2015 — ed.
Proceedings of the Industrial Track of the 16th International Middleware Conference, Middleware Industry 2015, Vancouver, BC, Canada, December 7-11, 2015
Middleware Industry
K. R. Jayaram, Michael A. Kozuch
2015 J jnl
Subscription Normalization for Effective Content-Based Messaging.
IEEE Trans. Parallel Distributed Syst.
K. R. Jayaram, Weihang Wang, Patrick Eugster
2015 — conf
Towards Explicitly Elastic Programming Frameworks.
ICSE (2)
K. R. Jayaram
2014 J jnl
Decentralized Fault-Tolerant Event Correlation.
ACM Trans. Internet Techn.
Gregory Aaron Wilkin, Patrick Eugster, K. R. Jayaram
2014 A conf
Fast, expressive top-
Middleware
William Culhane, K. R. Jayaram, Patrick Eugster
2014 A conf
Trustworthy geographically fenced hybrid clouds.
Middleware
K. R. Jayaram, David Safford, Upendra Sharma, Vijay K. Naik, Dimitrios E. Pendarakis, Shu Tao
2013 A conf
Elastic Remote Methods.
Middleware
K. R. Jayaram
2013 J jnl
Parametric Content-Based Publish/Subscribe.
ACM Trans. Comput. Syst.
K. R. Jayaram, Patrick Eugster, Chamikara Jayalath
2013 A conf
Views and Transactional Storage for Large Graphs.
Middleware
Michael Mihn-Jong Lee, Indrajit Roy, Alvin AuYoung, Vanish Talwar, K. R. Jayaram, Yuanyuan Zhou
2012 J jnl
Abstracting Context in Event-Based Software.
LNCS Trans. Aspect Oriented Softw. Dev.
Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster
2012 A conf
Brief Announcement: Weighted Partial Message Matching for Implicit Multicast Systems.
DISC
William Culhane, K. R. Jayaram, Patrick Eugster
2011 A conf
FAIDECS: Fair Decentralized Event Correlation.
Middleware
Gregory Aaron Wilkin, K. R. Jayaram, Patrick Eugster, Ankur Khetrapal
2011 — conf
Program analysis for event-based distributed systems.
DEBS
K. R. Jayaram, Patrick Eugster
2011 — conf
Putting events in context: aspects for event-based distributed programming.
AOSD
Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster
2011 A conf
Split and Subsume: Subscription Normalization for Effective Content-Based Messaging.
ICDCS
K. R. Jayaram, Patrick Eugster
2010 A conf
Parametric Subscriptions for Content-Based Publish/Subscribe Networks.
Middleware
K. R. Jayaram, Chamikara Jayalath, Patrick Eugster
2010 C conf
Scalable Efficient Composite Event Detection.
COORDINATION
K. R. Jayaram, Patrick Th. Eugster
2009 — conf
Context-oriented programming with EventJava.
COP@ECOOP
K. R. Jayaram, Patrick Eugster
2009 A conf
EventJava: An Extension of Java for Event Correlation.
ECOOP
Patrick Th. Eugster, K. R. Jayaram
2008 — conf
Lazy argument passing in Java RMI.
PPPJ
Christopher Line, K. R. Jayaram, Patrick Eugster
2008 B conf
On the Adequacy of Statecharts as a Source of Tests for Cryptographic Protocols.
COMPSAC
K. R. Jayaram, Aditya P. Mathur
2006 — conf
Identifying andTesting for Insecure Paths in Cryptographic Protocol Implementations.
COMPSAC (2)
K. R. Jayaram