Federated Learning for distribution skewed data using sample weights
Fuente:
arXiv
Guardado en:
| Autores principales: | Nguyen, Hung, Wu, Peiyuan, Chang, Morris |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data
por: Nguyen, Hung, et al.
Publicado: (2024)
por: Nguyen, Hung, et al.
Publicado: (2024)
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
por: Nguyen, Duong M., et al.
Publicado: (2025)
por: Nguyen, Duong M., et al.
Publicado: (2025)
Empowering Contrastive Federated Sequential Recommendation with LLMs
por: Nguyen, Thi Minh Chau, et al.
Publicado: (2026)
por: Nguyen, Thi Minh Chau, et al.
Publicado: (2026)
Variable-Agnostic Causal Exploration for Reinforcement Learning
por: Nguyen, Minh Hoang, et al.
Publicado: (2024)
por: Nguyen, Minh Hoang, et al.
Publicado: (2024)
Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew
por: Serrà, Joan, et al.
Publicado: (2026)
por: Serrà, Joan, et al.
Publicado: (2026)
Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization
por: Rahman, Ratun, et al.
Publicado: (2026)
por: Rahman, Ratun, et al.
Publicado: (2026)
Latency-aware Multimodal Federated Learning over UAV Networks
por: Shaon, Shaba, et al.
Publicado: (2025)
por: Shaon, Shaba, et al.
Publicado: (2025)
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
por: Tran, Khoa, et al.
Publicado: (2023)
por: Tran, Khoa, et al.
Publicado: (2023)
Hybrid Cross-domain Robust Reinforcement Learning
por: Van, Linh Le Pham, et al.
Publicado: (2025)
por: Van, Linh Le Pham, et al.
Publicado: (2025)
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning
por: Le, Huy Q., et al.
Publicado: (2022)
por: Le, Huy Q., et al.
Publicado: (2022)
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
por: Chen, Zhuoxin, et al.
Publicado: (2024)
por: Chen, Zhuoxin, et al.
Publicado: (2024)
Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
por: Nguyen, Nang Hung, et al.
Publicado: (2026)
por: Nguyen, Nang Hung, et al.
Publicado: (2026)
Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization
por: Nguyen, Hy, et al.
Publicado: (2025)
por: Nguyen, Hy, et al.
Publicado: (2025)
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
por: Nguyen, Minh Duong, et al.
Publicado: (2024)
por: Nguyen, Minh Duong, et al.
Publicado: (2024)
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
por: Do, Dai, et al.
Publicado: (2025)
por: Do, Dai, et al.
Publicado: (2025)
SA-EMO: Structure-Aligned Encoder Mixture of Operators for Generalizable Full-waveform Inversion
por: Zhenyu, Wang, et al.
Publicado: (2025)
por: Zhenyu, Wang, et al.
Publicado: (2025)
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
por: Quy, Vu Khanh, et al.
Publicado: (2024)
por: Quy, Vu Khanh, et al.
Publicado: (2024)
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
por: Li, Mingchen, et al.
Publicado: (2025)
por: Li, Mingchen, et al.
Publicado: (2025)
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
por: Nguyen, Huu Hiep, et al.
Publicado: (2026)
por: Nguyen, Huu Hiep, et al.
Publicado: (2026)
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
por: Van, Linh Le Pham, et al.
Publicado: (2025)
por: Van, Linh Le Pham, et al.
Publicado: (2025)
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
por: Nguyen, Duy Phuong, et al.
Publicado: (2024)
por: Nguyen, Duy Phuong, et al.
Publicado: (2024)
Predicting Survival of Hemodialysis Patients using Federated Learning
por: Raju, Abhiram, et al.
Publicado: (2024)
por: Raju, Abhiram, et al.
Publicado: (2024)
Personalized Federated Learning via Learning Dynamic Graphs
por: Zhou, Ziran, et al.
Publicado: (2025)
por: Zhou, Ziran, et al.
Publicado: (2025)
Federated Learning with Differential Privacy: An Utility-Enhanced Approach
por: Ranaweera, Kanishka, et al.
Publicado: (2025)
por: Ranaweera, Kanishka, et al.
Publicado: (2025)
CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
por: Li, Peiyuan, et al.
Publicado: (2026)
por: Li, Peiyuan, et al.
Publicado: (2026)
Regret-Guided Search Control for Efficient Learning in AlphaZero
por: Tsai, Yun-Jui, et al.
Publicado: (2026)
por: Tsai, Yun-Jui, et al.
Publicado: (2026)
Graph Federated Learning for Personalized Privacy Recommendation
por: Na, Ce, et al.
Publicado: (2025)
por: Na, Ce, et al.
Publicado: (2025)
Energy-Efficient Federated Learning for AIoT using Clustering Methods
por: Pereira, Roberto, et al.
Publicado: (2025)
por: Pereira, Roberto, et al.
Publicado: (2025)
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
por: Qian, Chendi, et al.
Publicado: (2025)
por: Qian, Chendi, et al.
Publicado: (2025)
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
por: Liu, Peiyuan, et al.
Publicado: (2024)
por: Liu, Peiyuan, et al.
Publicado: (2024)
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
por: Wu, Beiliang, et al.
Publicado: (2025)
por: Wu, Beiliang, et al.
Publicado: (2025)
Variational Flow Models: Flowing in Your Style
por: Do, Kien, et al.
Publicado: (2024)
por: Do, Kien, et al.
Publicado: (2024)
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
por: Qian, Yu-Yang, et al.
Publicado: (2026)
por: Qian, Yu-Yang, et al.
Publicado: (2026)
Resource-efficient Layer-wise Federated Self-supervised Learning
por: Tun, Ye Lin, et al.
Publicado: (2024)
por: Tun, Ye Lin, et al.
Publicado: (2024)
Mitigating Participation Imbalance Bias in Asynchronous Federated Learning
por: Chang, Xiangyu, et al.
Publicado: (2025)
por: Chang, Xiangyu, et al.
Publicado: (2025)
Privacy-Preserved Automated Scoring using Federated Learning for Educational Research
por: Latif, Ehsan, et al.
Publicado: (2025)
por: Latif, Ehsan, et al.
Publicado: (2025)
SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling
por: Tran, Khoa, et al.
Publicado: (2025)
por: Tran, Khoa, et al.
Publicado: (2025)
Federated Learning with Sample-level Client Drift Mitigation
por: Xu, Haoran, et al.
Publicado: (2025)
por: Xu, Haoran, et al.
Publicado: (2025)
FDRMFL:Multi-modal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
por: Wu, Haozhe
Publicado: (2025)
por: Wu, Haozhe
Publicado: (2025)
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
por: Yuan, Jinsheng, et al.
Publicado: (2025)
por: Yuan, Jinsheng, et al.
Publicado: (2025)
Ejemplares similares
-
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data
por: Nguyen, Hung, et al.
Publicado: (2024) -
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
por: Nguyen, Duong M., et al.
Publicado: (2025) -
Empowering Contrastive Federated Sequential Recommendation with LLMs
por: Nguyen, Thi Minh Chau, et al.
Publicado: (2026) -
Variable-Agnostic Causal Exploration for Reinforcement Learning
por: Nguyen, Minh Hoang, et al.
Publicado: (2024) -
Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew
por: Serrà, Joan, et al.
Publicado: (2026)