:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Shen, Shaowei, Yang, Xiaohong, Yang, Jie, Huang, Lianfen, Zhang, Yongcai, Zou, Yang, Hosseinalipour, Seyyedali
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Artificial Intelligence
Online-Zugang:	https://arxiv.org/abs/2602.01297
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
von: Yang, Xiaohong, et al.
Veröffentlicht: (2025)

Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
von: Liu, Zhang, et al.
Veröffentlicht: (2024)

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
von: Borazjani, Kasra, et al.
Veröffentlicht: (2024)

Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
von: Borazjani, Kasra, et al.
Veröffentlicht: (2025)

From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
von: Salihovic, Allan, et al.
Veröffentlicht: (2025)

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR
von: Nadimi, Fardis, et al.
Veröffentlicht: (2025)

TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
von: Lee, Seohyun, et al.
Veröffentlicht: (2025)

Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
von: Zehtabi, Shahryar, et al.
Veröffentlicht: (2025)

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph
von: Zhang, Yutong, et al.
Veröffentlicht: (2024)

Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
von: Abdisarabshali, Payam, et al.
Veröffentlicht: (2023)

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration
von: Borazjani, Kasra, et al.
Veröffentlicht: (2025)

EndoCogniAgent: Closed-Loop Agentic Reasoning with Self-Consistency Validation for Endoscopic Diagnosis
von: Tang, Yi, et al.
Veröffentlicht: (2025)

Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
von: WU, Jiageng, et al.
Veröffentlicht: (2024)

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
von: Abdisarabshali, Payam, et al.
Veröffentlicht: (2024)

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
von: Li, Wenliang, et al.
Veröffentlicht: (2025)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
von: Chu, Yun-Wei, et al.
Veröffentlicht: (2022)

Synergies between Federated Foundation Models and Smart Power Grids
von: Hosseinalipour, Seyyedali, et al.
Veröffentlicht: (2025)

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
von: Zou, Jie, et al.
Veröffentlicht: (2025)

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
von: Abdisarabshali, Payam, et al.
Veröffentlicht: (2025)

A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization
von: Jacobson, Maxwell J., et al.
Veröffentlicht: (2026)

Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization
von: Liu, Ziyang, et al.
Veröffentlicht: (2026)

Reinforcement-aware Knowledge Distillation for LLM Reasoning
von: Zhang, Zhaoyang, et al.
Veröffentlicht: (2026)

DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
von: Yang, Bufang, et al.
Veröffentlicht: (2024)

LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
von: Sharan, S P, et al.
Veröffentlicht: (2023)

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches
von: Kim, Junghoon, et al.
Veröffentlicht: (2023)

SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
von: Zhao, Jiahao, et al.
Veröffentlicht: (2026)

CuriousLLM: Elevating Multi-Document Question Answering with LLM-Enhanced Knowledge Graph Reasoning
von: Yang, Zukang, et al.
Veröffentlicht: (2024)

OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
von: Ao, Ruicheng, et al.
Veröffentlicht: (2026)

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization
von: Wang, Xudong, et al.
Veröffentlicht: (2026)

MindClaw: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
von: Zhang, Ruoxuan, et al.
Veröffentlicht: (2026)

Cross-Stage Attention Multi-Expert Network for Radiologist-Inspired Breast Ultrasound Diagnosis
von: Zhai, Xinyang, et al.
Veröffentlicht: (2026)

DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach
von: Liu, Zhang, et al.
Veröffentlicht: (2024)

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
von: Zhang, Jusheng, et al.
Veröffentlicht: (2025)

Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models
von: Xie, Yingsha, et al.
Veröffentlicht: (2026)

KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
von: Zhao, Qi, et al.
Veröffentlicht: (2025)

OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
von: Ieng, Frédéric, et al.
Veröffentlicht: (2026)

An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
von: Wei, Zhihuan, et al.
Veröffentlicht: (2026)

Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields
von: Shi, Yiwei, et al.
Veröffentlicht: (2026)

Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models
von: Karayanni, Nader, et al.
Veröffentlicht: (2024)

AutoPBO: LLM-powered Optimization for Local Search PBO Solvers
von: Li, Jinyuan, et al.
Veröffentlicht: (2025)