Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
Fuente:
arXiv
Saved in:
| Main Authors: | Chu, Yun-Wei, Hosseinalipour, Seyyedali, Tenorio, Elizabeth, Cruz, Laura, Douglas, Kerrie, Lan, Andrew, Brinton, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
by: Zehtabi, Shahryar, et al.
Published: (2022)
by: Zehtabi, Shahryar, et al.
Published: (2022)
Unlocking the Potential of Model Calibration in Federated Learning
by: Chu, Yun-Wei, et al.
Published: (2024)
by: Chu, Yun-Wei, et al.
Published: (2024)
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
by: Wang, Su, et al.
Published: (2023)
by: Wang, Su, et al.
Published: (2023)
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
by: Chu, Yun-Wei, et al.
Published: (2024)
by: Chu, Yun-Wei, et al.
Published: (2024)
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
by: Chang, Zhan-Lun, et al.
Published: (2023)
by: Chang, Zhan-Lun, et al.
Published: (2023)
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
by: Ebrahimi, Maryam, et al.
Published: (2025)
by: Ebrahimi, Maryam, et al.
Published: (2025)
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
by: Wagle, Satyavrat, et al.
Published: (2024)
by: Wagle, Satyavrat, et al.
Published: (2024)
Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning
by: Zehtabi, Shahryar, et al.
Published: (2026)
by: Zehtabi, Shahryar, et al.
Published: (2026)
Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions
by: Chen, Evan, et al.
Published: (2025)
by: Chen, Evan, et al.
Published: (2025)
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
by: Wang, Su, et al.
Published: (2023)
by: Wang, Su, et al.
Published: (2023)
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
by: Zehtabi, Shahryar, et al.
Published: (2024)
by: Zehtabi, Shahryar, et al.
Published: (2024)
Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs
by: Fang, Wenzhi, et al.
Published: (2025)
by: Fang, Wenzhi, et al.
Published: (2025)
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
by: Han, Dong-Jun, et al.
Published: (2024)
by: Han, Dong-Jun, et al.
Published: (2024)
Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
by: Lee, Seohyun, et al.
Published: (2026)
by: Lee, Seohyun, et al.
Published: (2026)
Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
by: Zehtabi, Shahryar, et al.
Published: (2025)
by: Zehtabi, Shahryar, et al.
Published: (2025)
Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design
by: Chang, Zhan-Lun, et al.
Published: (2024)
by: Chang, Zhan-Lun, et al.
Published: (2024)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
by: Borazjani, Kasra, et al.
Published: (2024)
by: Borazjani, Kasra, et al.
Published: (2024)
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
by: Oh, Myeung Suk, et al.
Published: (2021)
by: Oh, Myeung Suk, et al.
Published: (2021)
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
by: Ikram, Fareya, et al.
Published: (2025)
by: Ikram, Fareya, et al.
Published: (2025)
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
by: Borazjani, Kasra, et al.
Published: (2025)
by: Borazjani, Kasra, et al.
Published: (2025)
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
by: Scarlatos, Alexander, et al.
Published: (2025)
by: Scarlatos, Alexander, et al.
Published: (2025)
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
by: Chen, Zhiyu, et al.
Published: (2024)
by: Chen, Zhiyu, et al.
Published: (2024)
From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
by: Salihovic, Allan, et al.
Published: (2025)
by: Salihovic, Allan, et al.
Published: (2025)
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR
by: Nadimi, Fardis, et al.
Published: (2025)
by: Nadimi, Fardis, et al.
Published: (2025)
Measuring and Mitigating Biases in Motor Insurance Pricing
by: Moriah, Mulah, et al.
Published: (2023)
by: Moriah, Mulah, et al.
Published: (2023)
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches
by: Kim, Junghoon, et al.
Published: (2023)
by: Kim, Junghoon, et al.
Published: (2023)
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
by: Borazjani, Kasra, et al.
Published: (2025)
by: Borazjani, Kasra, et al.
Published: (2025)
A Leakage-Aware Data Layer For Student Analytics: The Capire Framework For Multilevel Trajectory Modeling
by: Paz, H. R.
Published: (2025)
by: Paz, H. R.
Published: (2025)
Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
by: Mohammadiasl, Ali, et al.
Published: (2026)
by: Mohammadiasl, Ali, et al.
Published: (2026)
Decentralized Federated Learning: A Survey and Perspective
by: Yuan, Liangqi, et al.
Published: (2023)
by: Yuan, Liangqi, et al.
Published: (2023)
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
by: Chu, Yun-Wei, et al.
Published: (2024)
by: Chu, Yun-Wei, et al.
Published: (2024)
Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
by: Tertulino, Rodrigo, et al.
Published: (2025)
by: Tertulino, Rodrigo, et al.
Published: (2025)
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement
by: Oh, Myeung Suk, et al.
Published: (2023)
by: Oh, Myeung Suk, et al.
Published: (2023)
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO
by: Oh, Myeung Suk, et al.
Published: (2023)
by: Oh, Myeung Suk, et al.
Published: (2023)
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
by: Fong, David, et al.
Published: (2024)
by: Fong, David, et al.
Published: (2024)
Interpreting Latent Student Knowledge Representations in Programming Assignments
by: Fernandez, Nigel, et al.
Published: (2024)
by: Fernandez, Nigel, et al.
Published: (2024)
A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems
by: Ikram, Fareya, et al.
Published: (2026)
by: Ikram, Fareya, et al.
Published: (2026)
Improving On-Time Undergraduate Graduation Rate For Undergraduate Students Using Predictive Analytics
by: Lopez-Yazdani, Ramineh, et al.
Published: (2024)
by: Lopez-Yazdani, Ramineh, et al.
Published: (2024)
Similar Items
-
Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
by: Zehtabi, Shahryar, et al.
Published: (2022) -
Unlocking the Potential of Model Calibration in Federated Learning
by: Chu, Yun-Wei, et al.
Published: (2024) -
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
by: Wang, Su, et al.
Published: (2023) -
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
by: Chu, Yun-Wei, et al.
Published: (2024) -
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)