Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Salazar, Teresa, Gama, João, Araújo, Helder, Abreu, Pedro Henriques |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
por: Salazar, Teresa, et al.
Publicado: (2024)
por: Salazar, Teresa, et al.
Publicado: (2024)
The General Theory of Localization Methods
por: Song, Congwei
Publicado: (2026)
por: Song, Congwei
Publicado: (2026)
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
por: Carey, Alycia, et al.
Publicado: (2025)
por: Carey, Alycia, et al.
Publicado: (2025)
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
por: Bian, Yijun, et al.
Publicado: (2024)
por: Bian, Yijun, et al.
Publicado: (2024)
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
por: Turan, Berkant, et al.
Publicado: (2025)
por: Turan, Berkant, et al.
Publicado: (2025)
Multi-objective Hyperparameter Optimization in the Age of Deep Learning
por: Basu, Soham, et al.
Publicado: (2025)
por: Basu, Soham, et al.
Publicado: (2025)
TSDS: Data Selection for Task-Specific Model Finetuning
por: Liu, Zifan, et al.
Publicado: (2024)
por: Liu, Zifan, et al.
Publicado: (2024)
Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
por: Leyli-Abadi, Milad, et al.
Publicado: (2025)
por: Leyli-Abadi, Milad, et al.
Publicado: (2025)
Artificial intelligence to automate the systematic review of scientific literature
por: de la Torre-López, José, et al.
Publicado: (2024)
por: de la Torre-López, José, et al.
Publicado: (2024)
FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
por: Seo, Beomseok, et al.
Publicado: (2025)
por: Seo, Beomseok, et al.
Publicado: (2025)
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
por: Ekle, Ocheme Anthony, et al.
Publicado: (2025)
por: Ekle, Ocheme Anthony, et al.
Publicado: (2025)
ECG-FM: An Open Electrocardiogram Foundation Model
por: McKeen, Kaden, et al.
Publicado: (2024)
por: McKeen, Kaden, et al.
Publicado: (2024)
Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
por: d'Amato, Claudia, et al.
Publicado: (2025)
por: d'Amato, Claudia, et al.
Publicado: (2025)
Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
por: Huang, Ningyuan, et al.
Publicado: (2025)
por: Huang, Ningyuan, et al.
Publicado: (2025)
Sample Efficient Generative Molecular Optimization with Joint Self-Improvement
por: Korkmaz, Serra, et al.
Publicado: (2026)
por: Korkmaz, Serra, et al.
Publicado: (2026)
Driving down Poisson error can offset classification error in clinical tasks
por: Delahunt, Charles B., et al.
Publicado: (2024)
por: Delahunt, Charles B., et al.
Publicado: (2024)
An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees -- SRules
por: Verdasco, Mario Parrón, et al.
Publicado: (2024)
por: Verdasco, Mario Parrón, et al.
Publicado: (2024)
E$^2$M: Double Bounded $α$-Divergence Optimization for Tensor-based Discrete Density Estimation
por: Ghalamkari, Kazu, et al.
Publicado: (2024)
por: Ghalamkari, Kazu, et al.
Publicado: (2024)
Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
por: Ma, Jianmina, et al.
Publicado: (2024)
por: Ma, Jianmina, et al.
Publicado: (2024)
A Comparative Study of Feature Selection in Tsetlin Machines
por: Halenka, Vojtech, et al.
Publicado: (2025)
por: Halenka, Vojtech, et al.
Publicado: (2025)
A ZeNN architecture to avoid the Gaussian trap
por: Carvalho, Luís, et al.
Publicado: (2025)
por: Carvalho, Luís, et al.
Publicado: (2025)
Learning Through Noise: Why Subliminal Learning Works and When It Fails
por: Brockers, Vincent C., et al.
Publicado: (2026)
por: Brockers, Vincent C., et al.
Publicado: (2026)
On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
por: Shafieinejad, Masoumeh, et al.
Publicado: (2026)
por: Shafieinejad, Masoumeh, et al.
Publicado: (2026)
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
por: Xu, Zhi-Qin John, et al.
Publicado: (2019)
por: Xu, Zhi-Qin John, et al.
Publicado: (2019)
Reasoning aligns language models to human cognition
por: Guiomar, Gonçalo, et al.
Publicado: (2026)
por: Guiomar, Gonçalo, et al.
Publicado: (2026)
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
por: Bellinger, Colin, et al.
Publicado: (2023)
por: Bellinger, Colin, et al.
Publicado: (2023)
Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs
por: Diliso, Ivan, et al.
Publicado: (2026)
por: Diliso, Ivan, et al.
Publicado: (2026)
Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen
por: da Silva, Anna Luiza Gomes, et al.
Publicado: (2025)
por: da Silva, Anna Luiza Gomes, et al.
Publicado: (2025)
APP: Accelerated Path Patching with Task-Specific Pruning
por: Andersen, Frauke, et al.
Publicado: (2025)
por: Andersen, Frauke, et al.
Publicado: (2025)
Learning from Complementary Features
por: Sugiyama, Kosuke, et al.
Publicado: (2024)
por: Sugiyama, Kosuke, et al.
Publicado: (2024)
Attention Please: What Transformer Models Really Learn for Process Prediction
por: Käppel, Martin, et al.
Publicado: (2024)
por: Käppel, Martin, et al.
Publicado: (2024)
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
por: Bian, Yijun, et al.
Publicado: (2024)
por: Bian, Yijun, et al.
Publicado: (2024)
Learning from Similarity-Confidence and Confidence-Difference
por: Tate, Tomoya, et al.
Publicado: (2025)
por: Tate, Tomoya, et al.
Publicado: (2025)
Learning from Hard Labels with Additional Supervision on Non-Hard-Labeled Classes
por: Sugiyama, Kosuke, et al.
Publicado: (2025)
por: Sugiyama, Kosuke, et al.
Publicado: (2025)
Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
por: Pala, Riccardo, et al.
Publicado: (2024)
por: Pala, Riccardo, et al.
Publicado: (2024)
A New Similarity Function for Spectral Clustering with Application to Plant Phenotypic Data
por: Ahuja, Kapil, et al.
Publicado: (2023)
por: Ahuja, Kapil, et al.
Publicado: (2023)
Resolving Ethics Trade-offs in Implementing Responsible AI
por: Sanderson, Conrad, et al.
Publicado: (2024)
por: Sanderson, Conrad, et al.
Publicado: (2024)
Robot Metabolism: Towards machines that can grow by consuming other machines
por: Wyder, Philippe Martin, et al.
Publicado: (2024)
por: Wyder, Philippe Martin, et al.
Publicado: (2024)
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
por: Han, Chengkai, et al.
Publicado: (2025)
por: Han, Chengkai, et al.
Publicado: (2025)
Murphys Laws of AI Alignment: Why the Gap Always Wins
por: Gaikwad, Madhava
Publicado: (2025)
por: Gaikwad, Madhava
Publicado: (2025)
Ejemplares similares
-
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
por: Salazar, Teresa, et al.
Publicado: (2024) -
The General Theory of Localization Methods
por: Song, Congwei
Publicado: (2026) -
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
por: Carey, Alycia, et al.
Publicado: (2025) -
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
por: Bian, Yijun, et al.
Publicado: (2024) -
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
por: Turan, Berkant, et al.
Publicado: (2025)