K. R. Jayaram
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
14
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | OptiSeq: Ordering Examples On-The-Fly for In-Context Learning. | Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian |
| 2025 | EMNLP | 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 |
| 2025 | Middleware | Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning. | Rahul Atul Bhope, K. R. Jayaram, Praveen Venkateswaran, Nalini Venkatasubramanian |
| 2025 | Middleware | In-Context Example Ordering for LLM-Based API Sequence Generation. | Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian |
| 2024 | EuroSys | 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 |
| 2024 | Middleware | A Conversational Assistant Framework for Automation. | Evelyn Duesterwald, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas, Praveen Venkateswaran |
| 2023 | Middleware | FLIPS: Federated Learning using Intelligent Participant Selection. | Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas |
| 2022 | MASCOTS | Just-in-Time Aggregation for Federated Learning. | K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy |
| 2021 | SOSP | Separation of Powers in Federated Learning (Poster Paper). | Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma |
| 2020 | MASCOTS | Effective Elastic Scaling of Deep Learning Workloads. | Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma |
| 2019 | Middleware | 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 |
| 2018 | DSN | 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 |
| 2017 | BigData | Scalable, Efficient Anonymization with INCOGNITO - Framework & Algorithm. | Antorweep Chakravorty, Chunming Rong, K. R. Jayaram, Shu Tao |
| 2017 | IC2E | Agile Composition of Compliant Data Analytics Platforms. | Michael Le, K. R. Jayaram, Yaron Weinsberg, Daniel J. Dean, Shu Tao |
| 2016 | ICDCS | Exploiting Causality to Engineer Elastic Distributed Software. | K. R. Jayaram |
| 2016 | ISSRE | Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments. | Aleksandar Milenkoski, K. R. Jayaram, Nuno Antunes, Marco Vieira, Samuel Kounev |
| 2015 | ICSE | Towards Explicitly Elastic Programming Frameworks. | K. R. Jayaram |
| 2014 | Middleware | Fast, expressive top- | William Culhane, K. R. Jayaram, Patrick Eugster |
| 2014 | Middleware | Trustworthy geographically fenced hybrid clouds. | K. R. Jayaram, David Safford, Upendra Sharma, Vijay K. Naik, Dimitrios E. Pendarakis, Shu Tao |
| 2013 | Middleware | Elastic Remote Methods. | K. R. Jayaram |
| 2013 | Middleware | Views and Transactional Storage for Large Graphs. | Michael Mihn-Jong Lee, Indrajit Roy, Alvin AuYoung, Vanish Talwar, K. R. Jayaram, Yuanyuan Zhou |
| 2011 | ICDCS | Split and Subsume: Subscription Normalization for Effective Content-Based Messaging. | K. R. Jayaram, Patrick Eugster |
| 2011 | Middleware | FAIDECS: Fair Decentralized Event Correlation. | Gregory Aaron Wilkin, K. R. Jayaram, Patrick Eugster, Ankur Khetrapal |
| 2010 | Coordination | Scalable Efficient Composite Event Detection. | K. R. Jayaram, Patrick Th. Eugster |
| 2010 | Middleware | Parametric Subscriptions for Content-Based Publish/Subscribe Networks. | K. R. Jayaram, Chamikara Jayalath, Patrick Eugster |
| 2009 | ECOOP | EventJava: An Extension of Java for Event Correlation. | Patrick Th. Eugster, K. R. Jayaram |
| 2009 | ECOOP | Context-oriented programming with EventJava. | K. R. Jayaram, Patrick Eugster |
| 2008 | COMPSAC | On the Adequacy of Statecharts as a Source of Tests for Cryptographic Protocols. | K. R. Jayaram, Aditya P. Mathur |
| 2006 | COMPSAC | Identifying andTesting for Insecure Paths in Cryptographic Protocol Implementations. | K. R. Jayaram |