K. R. Jayaram

According to our database, K. R. Jayaram authored at least 43 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

On Serving Image Classification Models.

Aurora González-Vidal, Alexander Isenko, K. R. Jayaram

Proceedings of the 9th International Workshop on Serverless Computing, 2023

FLIPS: Federated Learning using Intelligent Participant Selection.

Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas

Proceedings of the 24th International Middleware Conference, 2023

2022

Just-in-Time Aggregation for Federated Learning.

K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy

Proceedings of the 30th International Symposium on Modeling, 2022

Adaptive Aggregation For Federated Learning.

K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell

Proceedings of the IEEE International Conference on Big Data, 2022

Private Parameter Aggregation for Federated Learning.

K. R. Jayaram, Ashish Verma

Proceedings of the Federated Learning, 2022

2021

Separation of Powers in Federated Learning.

Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma

CoRR, 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

Proceedings of the ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, 2021

2020

Effective Elastic Scaling of Deep Learning Workloads.

Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma

Proceedings of the 28th International Symposium on Modeling, 2020

Workshop 19: ScaDL Scalable Deep Learning over Parallel and Distributed Infrastructures.

Ashish Verma, Christopher D. Carothers, K. R. Jayaram, Parijat Dube

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent.

K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

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

Proceedings of the 20th International Middleware Conference, 2019

Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study.

K. R. Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

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

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

2017

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

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, Yandong Wang, Jian Ming Zhang, Li Zhang

CoRR, 2017

Agile Composition of Compliant Data Analytics Platforms.

Michael Le, K. R. Jayaram, Yaron Weinsberg, Daniel J. Dean, Shu Tao

Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

Scalable, Efficient Anonymization with INCOGNITO - Framework & Algorithm.

Antorweep Chakravorty, Chunming Rong, K. R. Jayaram, Shu Tao

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Benchmarking Intrusion Detection Systems with Adaptive Provisioning of Virtualized Resources.

Aleksandar Milenkoski, K. R. Jayaram, Samuel Kounev

Proceedings of the Self-Aware Computing Systems., 2017

Software Architectures for Self-protection in IaaS Clouds.

K. R. Jayaram, Aleksandar Milenkoski, Samuel Kounev

Proceedings of the Self-Aware Computing Systems., 2017

2016

Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments.

Aleksandar Milenkoski, K. R. Jayaram, Nuno Antunes, Marco Vieira, Samuel Kounev

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

Exploiting Causality to Engineer Elastic Distributed Software.

K. R. Jayaram

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

2015

Subscription Normalization for Effective Content-Based Messaging.

K. R. Jayaram, Weihang Wang, Patrick Eugster

IEEE Trans. Parallel Distributed Syst., 2015

Towards Explicitly Elastic Programming Frameworks.

K. R. Jayaram

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Decentralized Fault-Tolerant Event Correlation.

Gregory Aaron Wilkin, Patrick Eugster, K. R. Jayaram

ACM Trans. Internet Techn., 2014

Trustworthy geographically fenced hybrid clouds.

K. R. Jayaram, David Safford, Upendra Sharma, Vijay K. Naik, Dimitrios E. Pendarakis, Shu Tao

Proceedings of the 15th International Middleware Conference, 2014

Fast, expressive top-<i>k</i> matching.

William Culhane, K. R. Jayaram, Patrick Eugster

Proceedings of the 15th International Middleware Conference, 2014

2013

Parametric Content-Based Publish/Subscribe.

K. R. Jayaram, Patrick Eugster, Chamikara Jayalath

ACM Trans. Comput. Syst., 2013

Views and Transactional Storage for Large Graphs.

Michael Mihn-Jong Lee, Indrajit Roy, Alvin AuYoung, Vanish Talwar, K. R. Jayaram, Yuanyuan Zhou

Proceedings of the Middleware 2013, 2013

Elastic Remote Methods.

K. R. Jayaram

Proceedings of the Middleware 2013, 2013

2012

Abstracting Context in Event-Based Software.

Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster

LNCS Trans. Aspect Oriented Softw. Dev., 2012

Brief Announcement: Weighted Partial Message Matching for Implicit Multicast Systems.

William Culhane, K. R. Jayaram, Patrick Eugster

Proceedings of the Distributed Computing - 26th International Symposium, 2012

2011

FAIDECS: Fair Decentralized Event Correlation.

Gregory Aaron Wilkin, K. R. Jayaram, Patrick Eugster, Ankur Khetrapal

Proceedings of the Middleware 2011, 2011

Split and Subsume: Subscription Normalization for Effective Content-Based Messaging.

K. R. Jayaram, Patrick Eugster

Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

Program analysis for event-based distributed systems.

K. R. Jayaram, Patrick Eugster

Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, 2011

Putting events in context: aspects for event-based distributed programming.

Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster

Proceedings of the 10th International Conference on Aspect-Oriented Software Development, 2011

2010

Parametric Subscriptions for Content-Based Publish/Subscribe Networks.

K. R. Jayaram, Chamikara Jayalath, Patrick Eugster

Proceedings of the Middleware 2010 - ACM/IFIP/USENIX 11th International Middleware Conference, Bangalore, India, November 29, 2010

Scalable Efficient Composite Event Detection.

K. R. Jayaram, Patrick Th. Eugster

Proceedings of the Coordination Models and Languages, 12th International Conference, 2010

2009

Context-oriented programming with EventJava.

K. R. Jayaram, Patrick Eugster

Proceedings of the International Workshop on Context-Oriented Programming, 2009

EventJava: An Extension of Java for Event Correlation.

Patrick Th. Eugster, K. R. Jayaram

Proceedings of the ECOOP 2009, 2009

2008

Lazy argument passing in Java RMI.

Christopher Line, K. R. Jayaram, Patrick Eugster

Proceedings of the 6th International Symposium on Principles and Practice of Programming in Java, 2008

On the Adequacy of Statecharts as a Source of Tests for Cryptographic Protocols.

K. R. Jayaram, Aditya P. Mathur

Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

2006

Identifying andTesting for Insecure Paths in Cryptographic Protocol Implementations.

K. R. Jayaram

Proceedings of the 30th Annual International Computer Software and Applications Conference, 2006