Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning
- Rahul Bhope
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2025
- Middleware 2025
Conference paper
Publications
22 results for Jayaram K Radhakrishnan
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
- Rahul Bhope
- Praveen Venkateswaran
- et al.
- 2025
- EMNLP 2025
PaperPerformance of Confidential Computing GPUs
- Antonio Martınez Ibarra
- Julian James Stephen
- et al.
- 2025
- ICDCS 2025
Conference paperOn Automating Security Policies with Contemporary LLMs
- Pablo Fernandez Saura
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2025
- SSE 2025
Conference paperDeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation
- Pau-Chen Cheng
- Kevin Eykholt
- et al.
- 2024
- EuroSys 2024
Conference paperAdaptive Aggregation For Federated Learning
- K. R. Kallapalayam Radhakrishnan
- Vinod Muthusamy
- et al.
- 2022
- Big Data 2022
Conference paperJust-in-Time Aggregation for Federated Learning
- K. R. Kallapalayam Radhakrishnan
- Ashish Verma
- et al.
- 2022
- MASCOTS 2022
Conference paperEffective Elastic Scaling of Deep Learning Workloads
- 2020
- MASCOTS 2020
Conference paperMYSTIKO: Cloud-mediated, private, federated gradient descent
- Jayaram Kr Kallapalayam Radhakrishnan
- Archit Verma
- et al.
- 2020
- CLOUD 2020
Conference paperFFDL: A Flexible Multi-tenant Deep Learning Platform
- Jayaram Kr Kallapalayam Radhakrishnan
- Vinod Muthusamy
- et al.
- 2019
- Middleware 2019
Conference paper