2026
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Fragment: Efficient DNN Checkpoint with Relaxed Model ConsistencySaha, M., Wu, Y., Brito, C., Rangaswami, R., Paulo, J., Macedo, R., & Bhimani, J.ACM Transactions on Architecture and Code Optimization. 2026.
@article{manoj2026taco, author = {Saha, Manoj and Wu, Yanzhao and Brito, Cl\'{a}udia and Rangaswami, Raju and Paulo, Jo\~{a}o and Macedo, Ricardo and Bhimani, Janki}, title = {Fragment: Efficient DNN Checkpoint with Relaxed Model Consistency}, year = {2026}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, journal = {ACM Transactions on Architecture and Code Optimization}, issn = {1544-3566}, url = {https://doi.org/10.1145/3830082}, doi = {10.1145/3830082} } -
It Works on My Machine: A Systematization of Knowledge on Reproducibility and Replicability in ML-Based Ransomware Detection Best Presentation AwardPereira, B., Cepa, B., Brito, C., Silva, J. M., Rimmer, V., Paulo, J., & Esteves, T.In 5th Workshop on Rethinking Malware Analysis (WoRMA), colocated with EuroS&P. 2026.
@inproceedings{bpereira2026worma, title = {It Works on My Machine: A Systematization of Knowledge on Reproducibility and Replicability in ML-Based Ransomware Detection}, author = {Pereira, B. and Cepa, B. and Brito, C. and Silva, J. M. and Rimmer, V. and Paulo, J. and Esteves, T.}, booktitle = {5th Workshop on Rethinking Malware Analysis (WoRMA), colocated with EuroS\&P}, year = {2026}, organization = {IEEE}, url = {https://doi.org/10.1109/EuroSPW72509.2026.00032} } -
MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing Best Poster AwardNouaji, R., Bitchebe, S., Macedo, R., & Balmau, O.In 21st European Conference on Computer Systems (EuroSys). 2026.
@inproceedings{rnouaji2026minatoloader, title = {MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing}, author = {Nouaji, R. and Bitchebe, S. and Macedo, R. and Balmau, O.}, booktitle = {21st European Conference on Computer Systems (EuroSys)}, year = {2026}, organization = {ACM}, pages = {2037-2053}, doi = {10.1145/3767295.3769376}, url = {https://doi.org/10.1145/3767295.3769376} }
2025
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One Does Not Simply Cache: A Study on Distributed Caches for AI Training in HPCFerreira, A., Sousa, G., Ruhela, A., Cazes, J., Bhimani, J., Rangaswami, R., Macedo, R., Brito, C., & Paulo, J.In Workshop on Reliable Large-scale Data Management (RLDM’25), colocated with SRDS. 2025.
@inproceedings{aferreira2025odnsc, title = {One Does Not Simply Cache: A Study on Distributed Caches for AI Training in HPC}, author = {Ferreira, A. and Sousa, G. and Ruhela, A. and Cazes, J. and Bhimani, J. and Rangaswami, R. and Macedo, R. and Brito, C. and Paulo, J.}, booktitle = {Workshop on Reliable Large-scale Data Management (RLDM'25), colocated with SRDS}, year = {2025}, url = {https://rldm.invisiblelab.dev/papers/one-does-not-simply-cache-a-study-on-distributed-caches-for-ai-training-in-hpc.pdf} } -
Exploiting Trusted Execution Environments And Distributed Computation for Genomic Association TestsBrito, C. V., Ferreira, P. G., & Paulo, J.IEEE Journal of Biomedical and Health Informatics. 2025.
@article{brito2025exploiting, title = {Exploiting Trusted Execution Environments And Distributed Computation for Genomic Association Tests}, author = {Brito, Cl{\'a}udia V and Ferreira, Pedro G and Paulo, Jo{\~a}o}, journal = {IEEE Journal of Biomedical and Health Informatics}, year = {2025}, publisher = {IEEE}, url = {https://10.1109/JBHI.2025.3562364} }
2023
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Privacy-Preserving Machine Learning on Apache SparkBrito, C. V., Ferreira, P. G., Portela, B. L., Oliveira, R. C., & Paulo, J.IEEE Access. 2023.
@article{brito2023privacy, title = {Privacy-Preserving Machine Learning on Apache Spark}, author = {Brito, Cl{\'a}udia V and Ferreira, Pedro G and Portela, Bernardo L and Oliveira, Rui C and Paulo, Jo{\~a}o}, journal = {IEEE Access}, volume = {11}, pages = {127907--127930}, year = {2023}, publisher = {IEEE}, url = {https://ieeexplore.ieee.org/abstract/document/10314994} } -
SOTERIA: Preserving Privacy in Distributed Machine LearningBrito, C., Ferreira, P., Portela, B., Oliveira, R., & Paulo, J.In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC). 2023.
@inproceedings{brito2023soteria, title = {SOTERIA: Preserving Privacy in Distributed Machine Learning}, author = {Brito, Cl{\'a}udia and Ferreira, Pedro and Portela, Bernardo and Oliveira, Rui and Paulo, Jo{\~a}o}, booktitle = {Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC)}, pages = {135--142}, year = {2023}, organization = {ACM}, url = {https://dl.acm.org/doi/abs/10.1145/3555776.3578591} }
2022
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Accelerating Deep Learning Training Through Transparent Storage TieringDantas, M., Leitão, D., Cui, P., Macedo, R., Liu, X., Xu, W., & Paulo, J.In 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid). 2022.
@inproceedings{dantas2022accelerating, title = {Accelerating Deep Learning Training Through Transparent Storage Tiering}, author = {Dantas, Marco and Leit{\~a}o, Diogo and Cui, Peter and Macedo, Ricardo and Liu, Xinlian and Xu, Weijia and Paulo, Jo{\~a}o}, booktitle = {22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)}, pages = {21--30}, year = {2022}, organization = {IEEE}, url = {https://doi.org/10.1109/CCGrid54584.2022.00011} }
2021
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The Case For Storage Optimization Decoupling In Deep Learning FrameworksMacedo, R., Correia, C., Dantas, M., Brito, C., Xu, W., Tanimura, Y., Haga, J., & Paulo, J.In Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO), colocated with CLUSTER. 2021.
@inproceedings{macedo2021case, title = {The Case For Storage Optimization Decoupling In Deep Learning Frameworks}, author = {Macedo, Ricardo and Correia, Cl{\'a}udia and Dantas, Marco and Brito, Cl{\'a}udia and Xu, Weijia and Tanimura, Yusuke and Haga, Jason and Paulo, Joao}, booktitle = {Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO), colocated with CLUSTER}, pages = {649--656}, year = {2021}, url = {https://doi.org/10.1109/Cluster48925.2021.00096}, organization = {IEEE} } -
Monarch: Hierarchical Storage Management For Deep Learning FrameworksDantas, M., Leitao, D., Correia, C., Macedo, R., Xu, W., & Paulo, J.In Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO), colocated with CLUSTER. 2021.
@inproceedings{dantas2021monarch, title = {Monarch: Hierarchical Storage Management For Deep Learning Frameworks}, author = {Dantas, Marco and Leitao, Diogo and Correia, Cl{\'a}udia and Macedo, Ricardo and Xu, Weijia and Paulo, Joao}, booktitle = {Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO), colocated with CLUSTER}, pages = {657--663}, year = {2021}, organization = {IEEE}, url = {https://doi.org/10.1109/Cluster48925.2021.00097} }