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 | 127 | 2011 |
EventJava: An extension of Java for event correlation P Eugster, KR Jayaram European Conference on Object-Oriented Programming, 570-594, 2009 | 114 | 2009 |
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 | 55 | 2017 |
Parametric subscriptions for content-based publish/subscribe networks KR Jayaram, C Jayalath, P Eugster ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2010 | 54 | 2010 |
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 | 37 | 2014 |
Parametric content-based publish/subscribe KR Jayaram, P Eugster, C Jayalath ACM transactions on computer systems (TOCS) 31 (2), 1-52, 2013 | 36 | 2013 |
Software engineering for secure software-state of the art: A survey KR Jayaram, AP Mathur Department of Computer Science, Purdue University, USA, 2005 | 36 | 2005 |
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 | 25 | 2011 |
Program analysis for event-based distributed systems KR Jayaram, P Eugster Proceedings of the 5th ACM international conference on Distributed event …, 2011 | 23 | 2011 |
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 | 22 | 2022 |
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 | 21 | 2019 |
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 | 21 | 2017 |
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 | 21 | 2011 |
Scalable efficient composite event detection KR Jayaram, P Eugster International Conference on Coordination Languages and Models, 168-182, 2010 | 20 | 2010 |
Lambda fl: Serverless aggregation for federated learning K Jayaram, V Muthusamy, G Thomas, A Verma, M Purcell International Workshop on Trustable, Verifiable and Auditable Federated …, 2022 | 16 | 2022 |
Elastic remote methods KR Jayaram Middleware 2013: ACM/IFIP/USENIX 14th International Middleware Conference …, 2013 | 15 | 2013 |
Separation of powers in federated learning (poster paper) PC Cheng, K Eykholt, Z Gu, H Jamjoom, KR Jayaram, E Valdez, A Verma Proceedings of the First Workshop on Systems Challenges in Reliable and …, 2021 | 14 | 2021 |
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 | 13 | 2020 |
Faidecs: Fair decentralized event correlation GA Wilkin, KR Jayaram, P Eugster, A Khetrapal ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2011 | 13 | 2011 |
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 | 11 | 2020 |