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K. R. Jayaram
K. R. Jayaram
Research Scientist, IBM Research
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
An empirical analysis of similarity in virtual machine images
KR Jayaram, C Peng, Z Zhang, M Kim, H Chen, H Lei
Proceedings of the Middleware 2011 Industry Track Workshop, 1-6, 2011
1252011
EventJava: An extension of Java for event correlation
P Eugster, KR Jayaram
European Conference on Object-Oriented Programming, 570-594, 2009
1122009
Parametric subscriptions for content-based publish/subscribe networks
KR Jayaram, C Jayalath, P Eugster
ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2010
532010
IBM deep learning service
B Bhattacharjee, S Boag, C Doshi, P Dube, B Herta, V Ishakian, ...
IBM Journal of Research and Development 61 (4/5), 10: 1-10: 11, 2017
502017
Trustworthy geographically fenced hybrid clouds
KR Jayaram, D Safford, U Sharma, V Naik, D Pendarakis, S Tao
Proceedings of the 15th international middleware conference, 37-48, 2014
372014
Parametric content-based publish/subscribe
KR Jayaram, P Eugster, C Jayalath
ACM transactions on computer systems (TOCS) 31 (2), 1-52, 2013
362013
Software engineering for secure software-state of the art: A survey
KR Jayaram, AP Mathur
Department of Computer Science, Purdue University, USA, 2005
352005
Putting events in context: aspects for event-based distributed programming
A Holzer, L Ziarek, KR Jayaram, P Eugster
Proceedings of the tenth international conference on Aspect-oriented …, 2011
252011
Program analysis for event-based distributed systems
KR Jayaram, P Eugster
Proceedings of the 5th ACM international conference on Distributed event …, 2011
232011
Split and subsume: Subscription normalization for effective content-based messaging
KR Jayaram, P Eugster
2011 31st International Conference on Distributed Computing Systems, 824-835, 2011
212011
Scalable multi-framework multi-tenant lifecycle management of deep learning training jobs
S Boag, P Dube, B Herta, W Hummer, V Ishakian, K Jayaram, M Kalantar, ...
Workshop on ML Systems, NIPS, 2017
192017
Scalable efficient composite event detection
KR Jayaram, P Eugster
International Conference on Coordination Languages and Models, 168-182, 2010
192010
FfDL: A flexible multi-tenant deep learning platform
KR Jayaram, V Muthusamy, P Dube, V Ishakian, C Wang, B Herta, S Boag, ...
Proceedings of the 20th International Middleware Conference, 82-95, 2019
162019
Elastic remote methods
KR Jayaram
Middleware 2013: ACM/IFIP/USENIX 14th International Middleware Conference …, 2013
152013
Faidecs: Fair decentralized event correlation
GA Wilkin, KR Jayaram, P Eugster, A Khetrapal
ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2011
132011
Adaptive aggregation for federated learning
KR Jayaram, V Muthusamy, G Thomas, A Verma, M Purcell
2022 IEEE International Conference on Big Data (Big Data), 180-185, 2022
122022
Effective elastic scaling of deep learning workloads
V Saxena, KR Jayaram, S Basu, Y Sabharwal, A Verma
2020 28th International Symposium on Modeling, Analysis, and Simulation of …, 2020
122020
Lambda FL: Serverless aggregation for federated learning
KR Jayaram, V Muthusamy, G Thomas, A Verma, M Purcell
International Workshop on Trustable, Verifiable and Auditable Federated …, 2022
112022
Mystiko: Cloud-mediated, private, federated gradient descent
KR Jayaram, A Verma, A Verma, G Thomas, C Sutcher-Shepard
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 201-210, 2020
102020
Fast, expressive top-k matching
W Culhane, KR Jayaram, P Eugster
Proceedings of the 15th International Middleware Conference, 73-84, 2014
102014
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