Rachid Guerraoui
ScholarGPS® ID: 20924630654044
Affiliation History
Discipline
Computer Science
Top Specialties
Distributed Computing | Programming Language | Object-oriented Programming | Fault Tolerance | Parallel Computing | Computer Architecture | Privacy | Shared Memory | Concurrency (computer Science) | Peer-to-peer | Collaborative Filtering | Model Checking | Social Network | Software Engineering | Embedded System
Metrics Summary
Publication Count
460
Predicted Citations
18,207
Predicted h-index
60
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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Byzantine Machine Learning: A Primer (journal article) ACM Computing Surveys, volume 56, issue 7, pages 1-39 (2024). |
PODC '24: 43rd ACM Symposium on Principles of Distributed Computing (2024) Nantes France |
All Byzantine Agreement Problems Are Expensive (conference) PODC '24: 43rd ACM Symposium on Principles of Distributed Computing (2024) Nantes France |
Byzantine consensus is $$\Theta (n^2)$$: the Dolev-Reischuk bound is tight even in partial synchrony! (journal article) Distributed Computing, volume 37, issue 2, pages 89-119 (2024). |
Context and Motivation (book chapter) In Robust Machine Learning Springer Nature Singapore (2024) |
Adversarial Evasion on LLMs (book chapter) In Large Language Models in Cybersecurity Springer Nature Switzerland (2024) |
Robust and Private Federated Learning on LLMs (book chapter) In Large Language Models in Cybersecurity Springer Nature Switzerland (2024) |
Optimal Robustness (book chapter) In Robust Machine Learning Springer Nature Singapore (2024) |
Practical Robustness (book chapter) In Robust Machine Learning Springer Nature Singapore (2024) |
Federated Machine Learning (book chapter) In Robust Machine Learning Springer Nature Singapore (2024) |
Fundamentals of Robust Machine Learning (book chapter) In Robust Machine Learning Springer Nature Singapore (2024) |
Basics of Machine Learning (book chapter) In Robust Machine Learning Springer Nature Singapore (2024) |
Robust Machine Learning (book) Springer Nature Singapore (2024) |
IEEE Transactions on Knowledge and Data Engineering, volume 35, issue 11, pages 11461-11475 (2023). |
As easy as ABC: Optimal (A)ccountable (B)yzantine (C)onsensus is easy! (journal article) Journal of Parallel and Distributed Computing, volume 181 (2023). |
Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats (journal article) Energy and Buildings, volume 296 (2023). |
PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling (journal article) Energies, volume 16, issue 18, pages 6594- (2023). |
GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation (2023) Lisbon Portugal |
Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models (conference) e-Energy '23: The 14th ACM International Conference on Future Energy Systems (2023) Orlando FL USA |
On the Validity of Consensus (conference) PODC '23: 2023 ACM Symposium on Principles of Distributed Computing (2023) Orlando FL USA |