Saved in:
| Main Authors: | Walger, Felix, Ejtehadi, Mehdi, Schmeink, Anke, Paez-Granados, Diego |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.06224 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Detection of Autonomic Dysreflexia in Individuals With Spinal Cord Injury Using Multimodal Wearable Sensors
by: Fuchs, Bertram, et al.
Published: (2025)
by: Fuchs, Bertram, et al.
Published: (2025)
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
by: Colybes, Elouan, et al.
Published: (2026)
by: Colybes, Elouan, et al.
Published: (2026)
Active Learning Using Aggregated Acquisition Functions: Accuracy and Sustainability Analysis
by: Jung, Cédric, et al.
Published: (2026)
by: Jung, Cédric, et al.
Published: (2026)
On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series
by: Dey, Sharmita, et al.
Published: (2026)
by: Dey, Sharmita, et al.
Published: (2026)
Understanding with toy surrogate models in machine learning
by: Páez, Andrés
Published: (2024)
by: Páez, Andrés
Published: (2024)
Parallel Split Learning with Global Sampling
by: Kohankhaki, Mohammad, et al.
Published: (2024)
by: Kohankhaki, Mohammad, et al.
Published: (2024)
Shared Control of Holonomic Wheelchairs through Reinforcement Learning
by: Bähler, Jannis, et al.
Published: (2025)
by: Bähler, Jannis, et al.
Published: (2025)
Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
by: Gao, Wei, et al.
Published: (2025)
by: Gao, Wei, et al.
Published: (2025)
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
by: Sun, Yuxia, et al.
Published: (2025)
by: Sun, Yuxia, et al.
Published: (2025)
FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning
by: He, Ningxin, et al.
Published: (2025)
by: He, Ningxin, et al.
Published: (2025)
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data
by: Lindskog, William, et al.
Published: (2024)
by: Lindskog, William, et al.
Published: (2024)
Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning
by: Yang, Xingke, et al.
Published: (2025)
by: Yang, Xingke, et al.
Published: (2025)
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
by: Gao, Jiechao, et al.
Published: (2024)
by: Gao, Jiechao, et al.
Published: (2024)
FairMed-XGB: A Bayesian-Optimised Multi-Metric Framework with Explainability for Demographic Equity in Critical Healthcare Data
by: Goswami, Mitul, et al.
Published: (2026)
by: Goswami, Mitul, et al.
Published: (2026)
FedGA-Tree: Federated Decision Tree using Genetic Algorithm
by: Nguyen, Anh V, et al.
Published: (2025)
by: Nguyen, Anh V, et al.
Published: (2025)
Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots
by: Salimpour, Sahar, et al.
Published: (2025)
by: Salimpour, Sahar, et al.
Published: (2025)
FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
by: Xie, Sijing, et al.
Published: (2025)
by: Xie, Sijing, et al.
Published: (2025)
ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency
by: Chu, Po-Hsun, et al.
Published: (2024)
by: Chu, Po-Hsun, et al.
Published: (2024)
Conformal Cross-Modal Active Learning
by: Nguyen, Huy Hoang, et al.
Published: (2026)
by: Nguyen, Huy Hoang, et al.
Published: (2026)
Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness
by: Batista, Murilo, et al.
Published: (2026)
by: Batista, Murilo, et al.
Published: (2026)
Enhancing Robustness of Federated Learning via Server Learning
by: Mai, Van Sy, et al.
Published: (2026)
by: Mai, Van Sy, et al.
Published: (2026)
Predictive Process Monitoring Using Object-centric Graph Embeddings
by: Gherissi, Wissam, et al.
Published: (2025)
by: Gherissi, Wissam, et al.
Published: (2025)
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
by: Elbakary, Ahmed, et al.
Published: (2024)
by: Elbakary, Ahmed, et al.
Published: (2024)
SparsyFed: Sparse Adaptive Federated Training
by: Guastella, Adriano, et al.
Published: (2025)
by: Guastella, Adriano, et al.
Published: (2025)
FedCF: Fair Federated Conformal Prediction
by: Srinivasan, Anutam, et al.
Published: (2025)
by: Srinivasan, Anutam, et al.
Published: (2025)
FedHide: Federated Learning by Hiding in the Neighbors
by: Park, Hyunsin, et al.
Published: (2024)
by: Park, Hyunsin, et al.
Published: (2024)
DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
by: Bekdache, Omar, et al.
Published: (2025)
by: Bekdache, Omar, et al.
Published: (2025)
Data-centric Federated Graph Learning with Large Language Models
by: Yan, Bo, et al.
Published: (2025)
by: Yan, Bo, et al.
Published: (2025)
Conflict-Aware Client Selection for Multi-Server Federated Learning
by: Hong, Mingwei, et al.
Published: (2026)
by: Hong, Mingwei, et al.
Published: (2026)
FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents
by: Saha, Pramit, et al.
Published: (2025)
by: Saha, Pramit, et al.
Published: (2025)
Differentially Private Federated $k$-Means Clustering with Server-Side Data
by: Scott, Jonathan, et al.
Published: (2025)
by: Scott, Jonathan, et al.
Published: (2025)
Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
by: Bashir, Satwat, et al.
Published: (2026)
by: Bashir, Satwat, et al.
Published: (2026)
FedHQ: Hybrid Runtime Quantization for Federated Learning
by: Zheng, Zihao, et al.
Published: (2025)
by: Zheng, Zihao, et al.
Published: (2025)
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
by: Chan, Yun-Hin, et al.
Published: (2023)
by: Chan, Yun-Hin, et al.
Published: (2023)
FedMerge: Federated Personalization via Model Merging
by: Chen, Shutong, et al.
Published: (2025)
by: Chen, Shutong, et al.
Published: (2025)
FedNAR: Federated Optimization with Normalized Annealing Regularization
by: Li, Junbo, et al.
Published: (2023)
by: Li, Junbo, et al.
Published: (2023)
FedDuA: Doubly Adaptive Federated Learning
by: Takakura, Shokichi, et al.
Published: (2025)
by: Takakura, Shokichi, et al.
Published: (2025)
Scaling Up Diffusion and Flow-based XGBoost Models
by: Cresswell, Jesse C., et al.
Published: (2024)
by: Cresswell, Jesse C., et al.
Published: (2024)
FedSDR: Federated Self-Distillation with Rectification
by: Ren, Ziheng, et al.
Published: (2026)
by: Ren, Ziheng, et al.
Published: (2026)
FedPID: An Aggregation Method for Federated Learning
by: Mächler, Leon, et al.
Published: (2024)
by: Mächler, Leon, et al.
Published: (2024)
Similar Items
-
Detection of Autonomic Dysreflexia in Individuals With Spinal Cord Injury Using Multimodal Wearable Sensors
by: Fuchs, Bertram, et al.
Published: (2025) -
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
by: Colybes, Elouan, et al.
Published: (2026) -
Active Learning Using Aggregated Acquisition Functions: Accuracy and Sustainability Analysis
by: Jung, Cédric, et al.
Published: (2026) -
On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series
by: Dey, Sharmita, et al.
Published: (2026) -
Understanding with toy surrogate models in machine learning
by: Páez, Andrés
Published: (2024)