Arnab K. Paul

29 papers A 3B 2C 1Misc 5Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities.
CoRR
Pranav M. R, Jayant Chandwani, Ahmed M. Abdelmoniem, Arnab K. Paul
2025 — conf
A Blockchain-Enabled Framework for Storage and Retrieval of Social Data.
IPDPS (Workshops)
Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan, Arnab K. Paul
2025 J jnl
A Blockchain-Enabled Framework for Storage and Retrieval of Social Data.
CoRR
Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan, Arnab K. Paul
2025 J jnl
Benchmarking Mutual Information-based Loss Functions in Federated Learning.
CoRR
Sarang S, Harsh D. Chothani, Qilei Li, Ahmed M. Abdelmoniem, Arnab K. Paul
2025 Misc conf
Scheduling Big Machine Learning Tasks on Clusters of Heterogeneous Edge Devices.
COMSNETS
Saumya Mathkar, Shreya Aiyer, Yashovardhan Bapat, Pinki, Arnab K. Paul, Vinayak Naik
2025 — conf
Towards Building Trustworthy Data Provenance for Agentic Workflows.
HiPCW
Aishwarya Parab, Prakhar Pradhan, Manit Tanwar, Yogesh Simmhan, Arnab K. Paul
2025 — conf
Towards Mitigation of Latency and Forgetting in Vehicular Federated Continual Learning.
HiPCW
Harsh D. Chothani, Vimarsh Shah, Marichamy Kasi, Arnab K. Paul
2025 A conf
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning.
Middleware
Sarang S, Druva Dhakshinamoorthy, Aditya Shiva Sharma, Yuvraj Singh Bhadauria, Siddharth Chaitra Vivek, Arihant Bansal, Arnab K. Paul
2025 J jnl
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning.
CoRR
Sarang S, Druva Dhakshinamoorthy, Aditya Shiva Sharma, Yuvraj Singh Bhadauria, Siddharth Chaitra Vivek, Arihant Bansal, Arnab K. Paul
2025 Misc conf
User-based I/O Profiling for Leadership Scale HPC Workloads.
ICDCN
Ahmad Hossein Yazdani, Arnab K. Paul, Ahmad Maroof Karimi, Feiyi Wang, Ali Raza Butt
2024 J jnl
An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems.
ACM Trans. Storage
Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huan, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali Raza Butt
2024 — conf
FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling.
SoCC
Redwan Ibne Seraj Khan, Arnab K. Paul, Yue Cheng, Xun Steve Jian, Ali Raza Butt
2024 — conf
Studying the Effects of Asynchronous I/O on HPC I/O Patterns.
CLUSTER Workshops
Arnav Gupta, Druva Dhakshinamoorthy, Arnab K. Paul
2024 J jnl
Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems.
ACM Trans. Storage
Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali Raza Butt
2024 — conf
Towards Pre-Training Data Evaluation for Client Selection in Federated Learning.
HIPCW
Vijay Dharmaji, Manit Tanwar, Subroto Majumder, M. Mustafa Rafique, Arnab K. Paul
2024 — conf
Understanding Infrastructure Drift in Federated Learning Systems.
HIPCW
Shashank Rana, Vimarsh Shah, Aishwarya Jayashankar, Ayush Bhardwaj, Arnab K. Paul
2024 Misc conf
When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning.
HiPC
Advik Raj Basani, Siddharth Chaitra Vivek, Advaith Krishna, Arnab K. Paul
2024 J jnl
When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning.
CoRR
Advik Raj Basani, Siddharth Chaitra Vivek, Advaith Krishna, Arnab K. Paul
2023 Misc conf
A Data-Centric Approach for Analyzing Large-Scale Deep Learning Applications.
ICDCN
S. Sai Vineet, Natasha Meena Joseph, Kunal Korgaonkar, Arnab K. Paul
2023 — conf
An I/O Performance Evaluation of Varying CephFS Striping Patterns.
CLUSTER Workshops
Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, Ali Raza Butt
2023 B conf
Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching.
MASCOTS
Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang
2023 Misc conf
Characteristics of Deep Learning Workloads in Industry, Academic Institutions and National Laboratories.
ICDCN
Natasha Meena Joseph, S. Sai Vineet, Kunal Korgaonkar, Arnab K. Paul
2023 — conf
Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads?
CLUSTER Workshops
Arnav Borkar, Joel Tony, Hari Vamsi K. N, Tushar Barman, Yash Bhisikar, Sreenath T. M., Arnab K. Paul
2023 — conf
HiPC 2023 Student Research Symposium (HiPC SRS 2023).
HiPCW
Arnab K. Paul, Suren Byna
2023 B conf
Modeling the Impact of System-Level Parameters on I/O Performance of HPC Applications.
MASCOTS
Debasmita Biswas, Arnab K. Paul, Sarah Neuwirth, Ali Raza Butt
2023 A conf
SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training.
FAST
Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, YuQi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt
2022 C conf
Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications.
CLUSTER
Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang
2022 J jnl
I/O performance analysis of machine learning workloads on leadership scale supercomputer.
Perform. Evaluation
Ahmad Maroof Karimi, Arnab K. Paul, Feiyi Wang
2022 A conf
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems.
HPDC
Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang