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Author

Rajkumar Buyya

Observed name: Buyya, Rajkumar
ORCID: 0000-0001-9754-6496
Observed ORCID: 0000-0001-9754-6496
OpenAlex ID: A5144459380
FEDCOMPASS: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models
2026 · Yueheng Wang, Xing He, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 1
Quantum Integrated High-Performance Computing: Envisioning a layered architecture for next-generation hybrid computing infrastructure
2026 · Suman Raj, Siva Sai, et al. · Future Generation Computer Systems
Cloud‐Native and Distributed Systems for Efficient and Scalable Large Language Models—A Research Agenda
2026 · Minxian Xu, Jingfeng Wu, et al. · Software Practice and Experience
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Darpan: A Digital Twin Framework for the Next-Generation Computing Continuum
2026 · Wang, Zhiyu, Buyya, Rajkumar · arXiv (Cornell University)
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Kafila: Serving Large Language Models on a Trusted Set of Heterogeneous Commodity Machines
2026 · Rangwala, Murtaza, Sinnott, Richard O., et al. · arXiv (Cornell University)
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Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
2026 · Gholipour, Niloofar, Assuncao, Marcos, et al. · arXiv (Cornell University)
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Agentic Autoscaling through Worker-Pool Orchestration for LLM-driven Text Classification in Cloud Computing Environments
2026 · Kumar, Bablu, Verma, Anshul, et al. · arXiv (Cornell University)
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Stability-Aware Proactive Autoscaling Using a Double Deep Q-Network in Cloud Computing Environments
2026 · Kumar, Bablu, Verma, Anshul, et al. · arXiv (Cornell University)
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A Technique for Load Shifting Low-latency Applications in Multi-Region Renewables Harvesting via SMT Core Pooling
2026 · Hewage, Tharindu B., Ilager, Shashikant, et al. · arXiv (Cornell University)
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Carbon-aware Resource Management for Latency-Sensitive Cloud Computing Environments: A Taxonomy and Future Directions
2026 · Hewage, Tharindu B., Ilager, Shashikant, et al. · arXiv (Cornell University)
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CLASP: Chained-Request-Aware Scaling and Operator Placement for Serverless Stream Processing
2026 · Qi, Tianyu, Rodriguez, Maria A., et al. · arXiv (Cornell University)
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AgentR A Stateful and Recovery-Aware Software Architecture for LLM-based Auditable Workflows
2026 · Samanta, Riya, Saha, Bidyut, et al. · arXiv (Cornell University)
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How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits
2026 · Singh, Prabhjot, Toosi, Adel N., et al. · arXiv (Cornell University)
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Trust-Aware Topology Learning for Dynamic Decentralized Federated Learning under Adversaries
2026 · Vaishnav, Shubham, Rangwala, Murtaza, et al. · arXiv (Cornell University)
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FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare
2026 · Tripathy, Rojalini, Bera, Padmalochan, et al. · arXiv (Cornell University)
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Preserving Admission Responsibility in Multi-Tenant Large Language Model Prefix Caches
2026 · Wang, Zhiyu, Buyya, Rajkumar · arXiv (Cornell University)
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PrefixPlace: Provable Prefix Key-Value Placement for Large Language Model Serving under Heterogeneous Compute and Transfer Costs
2026 · Wang, Zhiyu, Buyya, Rajkumar · arXiv (Cornell University)
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ADASCALE: An Adaptive Scaling and Placement Framework for Microservices Under Dynamics
2026 · Chen, Ming, Islam, Muhammed Tawfiqul, et al. · arXiv (Cornell University)
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Security and Privacy in Retrieval-Augmented Generation: Architectures, Threats, Defenses, and Future Directions for Building Trustworthy Systems
2026 · Palanisamy, Balamurugan, Chalapathi, G S S, et al. · arXiv (Cornell University)
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Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications
2026 · Srivastava, Divyansh, Ghosh, Shreya, et al. · arXiv (Cornell University)
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Coordinated Scheduling for MoE LLM Serving
2026 · Sun, Yifan, Zhang, Zhexiang, et al. · arXiv (Cornell University)
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Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation
2026 · Kaluannakkage, Chanuka A. S. Hewa, Buyya, Rajkumar · arXiv (Cornell University)
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Predictive Autoscaling in Cloud-Native and Federated Cloud-Edge Computing Environments: A Taxonomy and Future Directions
2026 · Kumar, Bablu, Verma, Anshul, et al. · arXiv (Cornell University)
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Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
2026 · Abhishek Sawaika, Durga Pritam Suggisetti, et al. · International Joint Conference on Neural Networks (IJCNN)
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A System Aware Resource Allocation for Distributed Workflows in Quantum Computing Environments
2026 · Sawaika, Abhishek, Parampalli, Udaya, et al. · arXiv (Cornell University)
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Works count: 34
Citation count: 1
H-index: 1
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