Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Tertulino, Rodrigo, Almeida, Ricardo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Federated Learning for At-Risk Student Prediction: A Comparative Analysis of Model Complexity and Data Balancing
by: Tertulino, Rodrigo, et al.
Published: (2025)
by: Tertulino, Rodrigo, et al.
Published: (2025)
A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
by: Tertulino, Rodrigo, et al.
Published: (2025)
by: Tertulino, Rodrigo, et al.
Published: (2025)
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
by: Tertulino, Rodrigo
Published: (2025)
by: Tertulino, Rodrigo
Published: (2025)
Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata
by: Tertulino, Rodrigo
Published: (2025)
by: Tertulino, Rodrigo
Published: (2025)
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems
by: Alamdari, Parand A., et al.
Published: (2026)
by: Alamdari, Parand A., et al.
Published: (2026)
Upholding Epistemic Agency: A Brouwerian Assertibility Constraint for Responsible AI
by: Jülich, Michael
Published: (2026)
by: Jülich, Michael
Published: (2026)
Runtime Monitoring and Enforcement of Conditional Fairness in Generative AIs
by: Cheng, Chih-Hong, et al.
Published: (2024)
by: Cheng, Chih-Hong, et al.
Published: (2024)
An Information-Flow Perspective on Algorithmic Fairness
by: Teuber, Samuel, et al.
Published: (2023)
by: Teuber, Samuel, et al.
Published: (2023)
Efficient & Correct Predictive Equivalence for Decision Trees
by: Marques-Silva, Joao, et al.
Published: (2025)
by: Marques-Silva, Joao, et al.
Published: (2025)
Learning Explainable and Better Performing Representations of POMDP Strategies
by: Bork, Alexander, et al.
Published: (2024)
by: Bork, Alexander, et al.
Published: (2024)
Proceedings The 13th International Workshop on Theorem proving components for Educational software
by: Narboux, Julien, et al.
Published: (2025)
by: Narboux, Julien, et al.
Published: (2025)
Proceedings 12th International Workshop on Theorem proving components for Educational software
by: Narboux, Julien, et al.
Published: (2024)
by: Narboux, Julien, et al.
Published: (2024)
A Foundational Theory of Quantitative Abstraction: Adjunctions, Duality, and Logic for Probabilistic Systems
by: Anwer, Nivar, et al.
Published: (2025)
by: Anwer, Nivar, et al.
Published: (2025)
A Personalised Formal Verification Framework for Monitoring Activities of Daily Living of Older Adults Living Independently in Their Homes
by: Contreras, Ricardo, et al.
Published: (2025)
by: Contreras, Ricardo, et al.
Published: (2025)
Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
by: Brorholt, Asger Horn, et al.
Published: (2024)
by: Brorholt, Asger Horn, et al.
Published: (2024)
Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
by: Brorholt, Asger Horn, et al.
Published: (2025)
by: Brorholt, Asger Horn, et al.
Published: (2025)
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
by: Chu, Yun-Wei, et al.
Published: (2022)
by: Chu, Yun-Wei, et al.
Published: (2022)
Model Predictive Robustness of Signal Temporal Logic Predicates
by: Lin, Yuanfei, et al.
Published: (2022)
by: Lin, Yuanfei, et al.
Published: (2022)
A Compositional Atlas for Algebraic Circuits
by: Wang, Benjie, et al.
Published: (2024)
by: Wang, Benjie, et al.
Published: (2024)
Formal Mathematical Reasoning: A New Frontier in AI
by: Yang, Kaiyu, et al.
Published: (2024)
by: Yang, Kaiyu, et al.
Published: (2024)
Magnushammer: A Transformer-Based Approach to Premise Selection
by: Mikuła, Maciej, et al.
Published: (2023)
by: Mikuła, Maciej, et al.
Published: (2023)
MARS: A neurosymbolic approach for interpretable drug discovery
by: DeLong, Lauren Nicole, et al.
Published: (2024)
by: DeLong, Lauren Nicole, et al.
Published: (2024)
A Novel Approach To Implementing Knowledge Distillation In Tsetlin Machines
by: Kinateder, Calvin
Published: (2025)
by: Kinateder, Calvin
Published: (2025)
$Π$-NeSy: A Possibilistic Neuro-Symbolic Approach
by: Baaj, Ismaïl, et al.
Published: (2025)
by: Baaj, Ismaïl, et al.
Published: (2025)
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
by: DeLong, Lauren Nicole, et al.
Published: (2023)
by: DeLong, Lauren Nicole, et al.
Published: (2023)
Can Transformers Reason Logically? A Study in SAT Solving
by: Pan, Leyan, et al.
Published: (2024)
by: Pan, Leyan, et al.
Published: (2024)
PiShield: A PyTorch Package for Learning with Requirements
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)
SDSC:A Structure-Aware Metric for Semantic Signal Representation Learning
by: Lee, Jeyoung, et al.
Published: (2025)
by: Lee, Jeyoung, et al.
Published: (2025)
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
by: Wu, Haoze, et al.
Published: (2024)
by: Wu, Haoze, et al.
Published: (2024)
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
by: Zhang, Xiyue, et al.
Published: (2024)
by: Zhang, Xiyue, et al.
Published: (2024)
A Reinforcement Learning based Reset Policy for CDCL SAT Solvers
by: Li, Chunxiao, et al.
Published: (2024)
by: Li, Chunxiao, et al.
Published: (2024)
A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
by: Nunn, Pierre, et al.
Published: (2024)
by: Nunn, Pierre, et al.
Published: (2024)
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
by: Zhao, Yanxiao, et al.
Published: (2025)
by: Zhao, Yanxiao, et al.
Published: (2025)
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
by: Ciatto, Giovanni, et al.
Published: (2025)
by: Ciatto, Giovanni, et al.
Published: (2025)
Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
by: Baugh, Kexin Gu, et al.
Published: (2025)
by: Baugh, Kexin Gu, et al.
Published: (2025)
Context-aware, Ante-hoc Explanations of Driving Behaviour
by: Grundt, Dominik, et al.
Published: (2025)
by: Grundt, Dominik, et al.
Published: (2025)
Judicial Permission
by: Governatori, Guido, et al.
Published: (2025)
by: Governatori, Guido, et al.
Published: (2025)
Epistemic reflections on AI answering our questions: overwatch, erudite, logician, interlocutor
by: Hoorn, Johan F., et al.
Published: (2023)
by: Hoorn, Johan F., et al.
Published: (2023)
Perennial Semantic Data Terms of Use for Decentralized Web
by: Zhao, Rui, et al.
Published: (2024)
by: Zhao, Rui, et al.
Published: (2024)
Equitable Access to Justice: Logical LLMs Show Promise
by: Kant, Manuj, et al.
Published: (2024)
by: Kant, Manuj, et al.
Published: (2024)
Similar Items
-
Evaluating Federated Learning for At-Risk Student Prediction: A Comparative Analysis of Model Complexity and Data Balancing
by: Tertulino, Rodrigo, et al.
Published: (2025) -
A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
by: Tertulino, Rodrigo, et al.
Published: (2025) -
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
by: Tertulino, Rodrigo
Published: (2025) -
Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata
by: Tertulino, Rodrigo
Published: (2025) -
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems
by: Alamdari, Parand A., et al.
Published: (2026)