Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Gaikwad, Nishant S., Heublein, Lucas, Raichur, Nisha L., Feigl, Tobias, Mutschler, Christopher, Ott, Felix |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
by: Ott, Felix, et al.
Published: (2024)
by: Ott, Felix, et al.
Published: (2024)
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
by: Raichur, Nisha L., et al.
Published: (2024)
by: Raichur, Nisha L., et al.
Published: (2024)
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
by: Heublein, Lucas, et al.
Published: (2025)
by: Heublein, Lucas, et al.
Published: (2025)
Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization
by: Manjunath, Harshith, et al.
Published: (2025)
by: Manjunath, Harshith, et al.
Published: (2025)
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
by: Raichur, Nisha Lakshmana, et al.
Published: (2025)
by: Raichur, Nisha Lakshmana, et al.
Published: (2025)
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
by: Ott, Felix, et al.
Published: (2022)
by: Ott, Felix, et al.
Published: (2022)
A Tractography Analysis Framework Using Diffusion Maps to Study Thalamic Connectivity in Traumatic Brain Injury
by: Sharma, Akul, et al.
Published: (2025)
by: Sharma, Akul, et al.
Published: (2025)
When Are Two RLHF Objectives the Same?
by: Gaikwad, Madhava
Published: (2025)
by: Gaikwad, Madhava
Published: (2025)
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)
by: Alagöz, Celal, et al.
Published: (2026)
A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles
by: Saqr, Khalid M.
Published: (2020)
by: Saqr, Khalid M.
Published: (2020)
Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)
by: Zhu, Siqi, et al.
Published: (2026)
Semantic Modeling for World-Centered Architectures
by: Mantsivoda, Andrei, et al.
Published: (2026)
by: Mantsivoda, Andrei, et al.
Published: (2026)
RCProb: Probabilistic Rule Extraction for Efficient Simplification of Tree Ensembles
by: Obregon, Josue
Published: (2026)
by: Obregon, Josue
Published: (2026)
STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)
by: Su, Jiarui, et al.
Published: (2026)
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
by: Hallak, Khaled, et al.
Published: (2025)
by: Hallak, Khaled, et al.
Published: (2025)
AVS: A Computational and Hierarchical Storage System for Autonomous Vehicles
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
D-SMART: Enhancing LLM Dialogue Consistency via Dynamic Structured Memory And Reasoning Tree
by: Lei, Xiang, et al.
Published: (2025)
by: Lei, Xiang, et al.
Published: (2025)
MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting
by: Cherif, Ahmed
Published: (2026)
by: Cherif, Ahmed
Published: (2026)
A collaborative ensemble construction method for federated random forest
by: Lim, Penjan Antonio Eng, et al.
Published: (2024)
by: Lim, Penjan Antonio Eng, et al.
Published: (2024)
Customizing Graph Neural Networks using Path Reweighting
by: Chen, Jianpeng, et al.
Published: (2021)
by: Chen, Jianpeng, et al.
Published: (2021)
Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
by: Platzer, André
Published: (2024)
by: Platzer, André
Published: (2024)
Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval
by: Haque, Md. Asraful, et al.
Published: (2026)
by: Haque, Md. Asraful, et al.
Published: (2026)
Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
by: Nwokocha, Caleb Princewill
Published: (2022)
by: Nwokocha, Caleb Princewill
Published: (2022)
Mapping the Web of Science, a large-scale graph and text-based dataset with LLM embeddings
by: Kunt, Tim, et al.
Published: (2026)
by: Kunt, Tim, et al.
Published: (2026)
Community-Based Model Sharing and Generalisation: Anomaly Detection in IoT Temperature Sensor Networks
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)
A logic for reasoning with inconsistent knowledge -- A reformulation using nowadays terminology (2024)
by: Roos, Nico
Published: (2024)
by: Roos, Nico
Published: (2024)
JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation
by: Huang, Yingbing, et al.
Published: (2025)
by: Huang, Yingbing, et al.
Published: (2025)
Causal Direction from Convergence Time: Faster Training in the True Causal Direction
by: Tamim, Abdulrahman
Published: (2026)
by: Tamim, Abdulrahman
Published: (2026)
TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding
by: Zhang, Junwen, et al.
Published: (2025)
by: Zhang, Junwen, et al.
Published: (2025)
A Landmark-Aware Visual Navigation Dataset
by: Johnson, Faith, et al.
Published: (2024)
by: Johnson, Faith, et al.
Published: (2024)
Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
by: Landers, Jonathan R.
Published: (2025)
by: Landers, Jonathan R.
Published: (2025)
Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)
by: Bibb, Meghan, et al.
Published: (2025)
LLM-supported document separation for printed reviews from zbMATH Open
by: Pluzhnikov, Ivan, et al.
Published: (2026)
by: Pluzhnikov, Ivan, et al.
Published: (2026)
Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
by: Gupta, Aayush
Published: (2025)
by: Gupta, Aayush
Published: (2025)
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
by: Chowdhury, Arindam, et al.
Published: (2025)
by: Chowdhury, Arindam, et al.
Published: (2025)
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)
by: Manokhin, Valery, et al.
Published: (2026)
Predicting Time Pressure of Powered Two-Wheeler Riders for Proactive Safety Interventions
by: Shevtekar, Sumit S., et al.
Published: (2026)
by: Shevtekar, Sumit S., et al.
Published: (2026)
PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
by: Souza, Renan, et al.
Published: (2025)
by: Souza, Renan, et al.
Published: (2025)
Foam Segmentation in Wastewater Treatment Plants: A Federated Learning Approach with Segment Anything Model 2
by: Duman, Mehmet Batuhan, et al.
Published: (2025)
by: Duman, Mehmet Batuhan, et al.
Published: (2025)
On measuring grounding and generalizing grounding problems
by: Quigley, Daniel, et al.
Published: (2025)
by: Quigley, Daniel, et al.
Published: (2025)
Similar Items
-
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
by: Ott, Felix, et al.
Published: (2024) -
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
by: Raichur, Nisha L., et al.
Published: (2024) -
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
by: Heublein, Lucas, et al.
Published: (2025) -
Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization
by: Manjunath, Harshith, et al.
Published: (2025) -
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
by: Raichur, Nisha Lakshmana, et al.
Published: (2025)