FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Gül, Baran Can, Nadig, Suraksha, Tziampazis, Stefanos, Jazdi, Nasser, Weyrich, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
by: Gül, Baran Can, et al.
Published: (2025)
by: Gül, Baran Can, et al.
Published: (2025)
Towards Intelligent Computation Offloading in Dynamic Vehicular Networks: A Scalable Multilayer Pipeline
by: Dettinger, Falk, et al.
Published: (2026)
by: Dettinger, Falk, et al.
Published: (2026)
SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions
by: Weiß, Matthias, et al.
Published: (2026)
by: Weiß, Matthias, et al.
Published: (2026)
Tackling Erosion in Variant-Rich Software Systems: Challenges and Approaches
by: Stümpfle, Johannes, et al.
Published: (2024)
by: Stümpfle, Johannes, et al.
Published: (2024)
EmoHRNet: High-Resolution Neural Network Based Speech Emotion Recognition
by: Muppidi, Akshay, et al.
Published: (2025)
by: Muppidi, Akshay, et al.
Published: (2025)
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility
by: Xia, Yuchen, et al.
Published: (2024)
by: Xia, Yuchen, et al.
Published: (2024)
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
by: Dittler, Daniel, et al.
Published: (2024)
by: Dittler, Daniel, et al.
Published: (2024)
Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0
by: Xia, Yuchen, et al.
Published: (2024)
by: Xia, Yuchen, et al.
Published: (2024)
Efficient Creation of Behavior Models with Variable Modeling Depths Used in Digital Twins
by: Stegmaier, Valentin, et al.
Published: (2024)
by: Stegmaier, Valentin, et al.
Published: (2024)
A Concept for Autonomous Problem-Solving in Intralogistics Scenarios
by: Sigel, Johannes, et al.
Published: (2025)
by: Sigel, Johannes, et al.
Published: (2025)
EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition
by: Thimonier, Hugo, et al.
Published: (2025)
by: Thimonier, Hugo, et al.
Published: (2025)
SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches
by: Choksi, Kushan, et al.
Published: (2024)
by: Choksi, Kushan, et al.
Published: (2024)
LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
by: Xia, Yuchen, et al.
Published: (2024)
by: Xia, Yuchen, et al.
Published: (2024)
AM^2-EmoJE: Adaptive Missing-Modality Emotion Recognition in Conversation via Joint Embedding Learning
by: Devulapally, Naresh Kumar, et al.
Published: (2024)
by: Devulapally, Naresh Kumar, et al.
Published: (2024)
DeepEmoNet: Building Machine Learning Models for Automatic Emotion Recognition in Human Speeches
by: Vu, Tai
Published: (2025)
by: Vu, Tai
Published: (2025)
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
FedMAP: Personalised Federated Learning for Real Large-Scale Healthcare Systems
by: Zhang, Fan, et al.
Published: (2024)
by: Zhang, Fan, et al.
Published: (2024)
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation
by: Hu, Ming, et al.
Published: (2022)
by: Hu, Ming, et al.
Published: (2022)
FedUMM: A General Framework for Federated Learning with Unified Multimodal Models
by: Su, Zhaolong, et al.
Published: (2026)
by: Su, Zhaolong, et al.
Published: (2026)
FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation
by: Tan, Min, et al.
Published: (2026)
by: Tan, Min, et al.
Published: (2026)
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
by: Nguyen, Cam-Van Thi, et al.
Published: (2024)
by: Nguyen, Cam-Van Thi, et al.
Published: (2024)
CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
by: Wang, Siyi, et al.
Published: (2026)
by: Wang, Siyi, et al.
Published: (2026)
EmoAugNet: A Signal-Augmented Hybrid CNN-LSTM Framework for Speech Emotion Recognition
by: Paul, Durjoy Chandra, et al.
Published: (2025)
by: Paul, Durjoy Chandra, et al.
Published: (2025)
Control Industrial Automation System with Large Language Model Agents
by: Xia, Yuchen, et al.
Published: (2024)
by: Xia, Yuchen, et al.
Published: (2024)
Hardware-Aware Federated Learning for Speech Emotion Recognition
by: Yuksel, Beyazit Bestami, et al.
Published: (2026)
by: Yuksel, Beyazit Bestami, et al.
Published: (2026)
EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
by: Zhu, Wei, et al.
Published: (2025)
by: Zhu, Wei, et al.
Published: (2025)
FedAPM: Federated Learning via ADMM with Partial Model Personalization
by: Zhu, Shengkun, et al.
Published: (2025)
by: Zhu, Shengkun, et al.
Published: (2025)
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)
by: Kou, Zhiqiang, et al.
Published: (2026)
FedHide: Federated Learning by Hiding in the Neighbors
by: Park, Hyunsin, et al.
Published: (2024)
by: Park, Hyunsin, et al.
Published: (2024)
FedTrans: Efficient Federated Learning via Multi-Model Transformation
by: Zhu, Yuxuan, et al.
Published: (2024)
by: Zhu, Yuxuan, et al.
Published: (2024)
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
by: Quéméneur, Cyprien, et al.
Published: (2024)
by: Quéméneur, Cyprien, et al.
Published: (2024)
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
by: Mei, Hanzi, et al.
Published: (2024)
by: Mei, Hanzi, et al.
Published: (2024)
U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition
by: George, Romiyal, et al.
Published: (2026)
by: George, Romiyal, et al.
Published: (2026)
FedMerge: Federated Personalization via Model Merging
by: Chen, Shutong, et al.
Published: (2025)
by: Chen, Shutong, et al.
Published: (2025)
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation
by: Meng, Tao, et al.
Published: (2024)
by: Meng, Tao, et al.
Published: (2024)
FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting
by: Helcig, Michael A., et al.
Published: (2025)
by: Helcig, Michael A., et al.
Published: (2025)
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)
FedDuA: Doubly Adaptive Federated Learning
by: Takakura, Shokichi, et al.
Published: (2025)
by: Takakura, Shokichi, et al.
Published: (2025)
Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline
by: Gkikas, Stefanos, et al.
Published: (2025)
by: Gkikas, Stefanos, et al.
Published: (2025)
Similar Items
-
SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
by: Gül, Baran Can, et al.
Published: (2025) -
Towards Intelligent Computation Offloading in Dynamic Vehicular Networks: A Scalable Multilayer Pipeline
by: Dettinger, Falk, et al.
Published: (2026) -
SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions
by: Weiß, Matthias, et al.
Published: (2026) -
Tackling Erosion in Variant-Rich Software Systems: Challenges and Approaches
by: Stümpfle, Johannes, et al.
Published: (2024) -
EmoHRNet: High-Resolution Neural Network Based Speech Emotion Recognition
by: Muppidi, Akshay, et al.
Published: (2025)