Rafael Pereira Pires
+41 21 693 19 65
EPFL
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IC
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IC-SIN
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SIN-ENS
Web site: Web site: https://sin.epfl.ch
EPFL IC IINFCOM SACS
BC 164 (Bâtiment BC)
Station 14
1015 Lausanne
Web site: Web site: https://www.epfl.ch/labs/sacs/
+41 21 693 19 65
EPFL
>
IC
>
IC-SIN
>
SIN-GE
Web site: Web site: https://sin.epfl.ch/
Fields of expertise
Bio
Rafael Pires has a PhD in Computer Science (2019) from University of Neuchâtel, Switzerland, and is currently a lecturer and researcher at EPFL, where he works with system problems that intersect with privacy and decentralized machine learning. He holds two Master's degrees (Computer Science, 2009, and Mechatronics, 2014) and worked in the industry and public sector in Brazil with computer forensics, robotics, distributed systems, and embedded systems.Publications
Infoscience publications
Low-Cost Privacy-Preserving Decentralized Learning
2025. The 25th Privacy Enhancing Technologies Symposium, Washington DC, USA, 2025-07-14 - 2025-07-19. p. 451 - 474. DOI : https://doi.org/10.56553/popets-2025-0108.Accelerating MoE Model Inference with Expert Sharding
5th Workshop on Machine Learning and Systems (EuroMLSys), Rotterdam, The Netherlands, 2025-03-31.Leveraging Approximate Caching for Faster Retrieval-Augmented Generation
2025. 5th Workshop on Machine Learning and Systems (EuroMLSys), Rotterdam, The Netherlands, 2025-03-31. DOI : 10.1145/3721146.3721941.Boosting Asynchronous Decentralized Learning with Model Fragmentation
2025. The ACM Web Conference 2025, Sydney, Australia, 2025-04-28 - 2025-05-02.Revisiting Ensembling in One-Shot Federated Learning
2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 - 2024-12-15.Noiseless Privacy-Preserving Decentralized Learning
2024. The 25th Privacy Enhancing Technologies Symposium, Washington DC, USA, 2025-07-14 - 2025-07-19. p. 824 - 844. DOI : 10.56553/popets-2025-0043.Energy-Aware Decentralized Learning with Intermittent Model Training
38th IEEE International Parallel & Distributed Processing Symposium, San Francisco, California, USA, 2024-05-27 - 2024-05-31.Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, December 10-16, 2023.Decentralized learning made easy with DecentralizePy
2023. 3rd Workshop on Machine Learning and Systems (EuroMLSys'23), Rome, Italy, May 8th. DOI : 10.1145/3578356.3592587.Get More for Less in Decentralized Learning Systems
2023. ICDCS 2023 43rd IEEE International Conference on Distributed Computing Systems, Hong Kong, China, July 18-21, 2023. DOI : 10.1109/ICDCS57875.2023.00067.TEE-based decentralized recommender systems: The raw data sharing redemption
2022. 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS '22), Virtual, May 30 - June 3 2022. DOI : 10.1109/IPDPS53621.2022.00050.Malware in the SGX supply chain: Be careful when signing enclaves!
IEEE Transactions on Dependable and Secure Computing. 2022. DOI : 10.1109/TDSC.2020.3024562.NVCache: A Plug-and-Play NVMM-based I/O Booster for Legacy Systems
2021. 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2021), [Virtual] Taipei, Taiwan, 21-24 June 2021. p. 186 - 198. DOI : 10.1109/DSN48987.2021.00033.Teaching & PhD
Teaching
Computer Science