Pranshu Chaturvedi

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Computing Power

Heterogeneous Computing

Privacy Preservation

Top Venues

Frontiers Artif. Intell.

Publications

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A Huerta, Kibaek Kim, Ravi K. Madduri
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR (2024)
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR (2024)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science (2023)
Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, E. A. Huerta, Maryellen L. Giger
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR (2023)
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, E. A. Huerta, Kibaek Kim, Ravi K. Madduri
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR (2023)
Pranshu Chaturvedi, Asad Khan, Minyang Tian, E. A. Huerta, Huihuo Zheng
Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale. Frontiers Artif. Intell. 5 (2022)
Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR (2022)
Pranshu Chaturvedi, Asad Khan, Minyang Tian, E. A. Huerta, Huihuo Zheng
Inference-optimized AI and high performance computing for gravitational wave detection at scale. CoRR (2022)