2 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study
Komal Thareja, Hamza Safri, Rajiv Mayani +2
Federated learning over medical images is a demanding workflow application. Each round fans out across parallel client jobs and converges on an aggregation step that feeds the next…
From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
Komal Thareja, Anirban Mandal, Ewa Deelman
Scientists increasingly rely on sensor-based data, yet transforming raw streams into insights across the edge-to-cloud continuum remains difficult. Provisioning heterogeneous infra…
(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
Komal Thareja, Anirban Mandal, Ewa Deelman
Scientists increasingly rely on sensor-based data; however transforming raw streams into insights across the edge-to-cloud continuum remains difficult due to the breadth of experti…
SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management
Komal Thareja, Krishnan Raghavan, Hamza Safri +2
Distributed scientific workflows are increasingly executed across heterogeneous and geo-distributed computing environments, where centralized workload orchestration becomes a scala…