Just-in-Time Aggregation for Federated Learning
- K. R. Kallapalayam Radhakrishnan
- Ashish Verma
- et al.
- 2022
- MASCOTS 2022
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18 results for Jayaram Kr Kallapalayam Radhakrishnan
Effective Elastic Scaling of Deep Learning Workloads
- Vaibhav Saxena
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2020
- MASCOTS 2020
MYSTIKO: Cloud-mediated, private, federated gradient descent
- Jayaram Kr Kallapalayam Radhakrishnan
- Archit Verma
- et al.
- 2020
- CLOUD 2020
Exploiting Causality to Engineer Elastic Distributed Software
- Jayaram Kr Kallapalayam Radhakrishnan
- 2016
- ICDCS 2016
Towards Explicitly Elastic Programming Frameworks
- Jayaram Kr Kallapalayam Radhakrishnan
- 2015
- ICSE 2015
Adaptive Aggregation For Federated Learning
- K. R. Kallapalayam Radhakrishnan
- Vinod Muthusamy
- et al.
- 2022
- Big Data 2022
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation
- Pau-Chen Cheng
- Kevin Eykholt
- et al.
- 2024
- EuroSys 2024
FFDL: A Flexible Multi-tenant Deep Learning Platform
- Jayaram Kr Kallapalayam Radhakrishnan
- Vinod Muthusamy
- et al.
- 2019
- Middleware 2019
Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study
- Jayaram Kr Kallapalayam Radhakrishnan
- Anshul Gandhi
- et al.
- 2019
- ICAC 2019
Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform
- Scott Boag
- Parijat Dube
- et al.
- 2018
- DSN-W 2018