Cover Image

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdisarabshali, Payam, Nadimi, Fardis, Borazjani, Kasra, Khosravan, Naji, Liwang, Minghui, Ni, Wei, Niyato, Dusit, Langberg, Michael, Hosseinalipour, Seyyedali
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
by: Borazjani, Kasra, et al.
Published: (2025)

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

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

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

Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization
by: Nadimi, Fardis, et al.
Published: (2025)

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

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

Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
by: Wagle, Satyavrat, et al.
Published: (2024)

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

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

Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version)
by: Mai, Wenbin, et al.
Published: (2025)

Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions
by: Qi, Houyi, et al.
Published: (2025)

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
by: Shaon, Shaba, et al.
Published: (2025)

ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge
by: Yang, Xiaohong, et al.
Published: (2026)

FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks
by: Qi, Houyi, et al.
Published: (2025)

Auctioning Future Services in Edge Networks with Moving Vehicles: N-Step Look-Ahead Contracts for Sustainable Resource Provision
by: Ling, Ziqi, et al.
Published: (2025)

Look One Step Ahead: Forward-Looking Incentive Design with Strategic Privacy for Proactive Service Provisioning over Air-Ground Integrated Edge Networks
by: Wu, Sicheng, et al.
Published: (2026)

Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
by: Yang, Xiaohong, et al.
Published: (2025)

Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
by: Chang, Zhan-Lun, et al.
Published: (2023)

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
by: Liwang, Minghui, et al.
Published: (2022)

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

Spatiotemporal Feature Alignment and Weighted Fusion in Collaborative Perception Enabled by Network Synchronization and Age of Information
by: Han, Qiaomei, et al.
Published: (2026)

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

Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology
by: Wu, Minghong, et al.
Published: (2025)

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

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
by: Wang, Su, et al.
Published: (2023)

Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions
by: Guo, Bingshuo, et al.
Published: (2025)

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
by: Wang, Su, et al.
Published: (2023)

Lightweight Federated Learning over Wireless Edge Networks
by: Hou, Xiangwang, et al.
Published: (2025)

Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
by: Wang, Hong, et al.
Published: (2026)

Deformable Capsules for Object Detection
by: Lalonde, Rodney, et al.
Published: (2021)

Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
by: Zehtabi, Shahryar, et al.
Published: (2022)

The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
by: Ebrahimi, Maryam, et al.
Published: (2025)

Risk-Budgeted Online Scheduling for Continuous Edge Inference over Evolving Time Horizons
by: Qi, Houyi, et al.
Published: (2026)

Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
by: Mohammadiasl, Ali, et al.
Published: (2026)

Deformable Capsules for Object Detection
by: Rodney LaLonde, et al.
Published: (2024)

Accelerating the Delivery of Data Services over Uncertain Mobile Crowdsensing Networks
by: Liwang, Minghui, et al.
Published: (2022)

Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions
by: Chen, Evan, et al.
Published: (2025)

Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token Communications
by: Zeinali, Farshad, et al.
Published: (2026)