TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Lee, Seohyun, Fang, Wenzhi, Han, Dong-Jun, Hosseinalipour, Seyyedali, Brinton, Christopher G. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
por: Lee, Seohyun, et al.
Publicado: (2026)
por: Lee, Seohyun, et al.
Publicado: (2026)
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
por: Han, Dong-Jun, et al.
Publicado: (2024)
por: Han, Dong-Jun, et al.
Publicado: (2024)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
por: Lee, Seohyun, et al.
Publicado: (2025)
por: Lee, Seohyun, et al.
Publicado: (2025)
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
por: Borazjani, Kasra, et al.
Publicado: (2025)
por: Borazjani, Kasra, et al.
Publicado: (2025)
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
por: Borazjani, Kasra, et al.
Publicado: (2024)
por: Borazjani, Kasra, et al.
Publicado: (2024)
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
por: Wang, Su, et al.
Publicado: (2023)
por: Wang, Su, et al.
Publicado: (2023)
Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs
por: Fang, Wenzhi, et al.
Publicado: (2025)
por: Fang, Wenzhi, et al.
Publicado: (2025)
Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
por: Zehtabi, Shahryar, et al.
Publicado: (2025)
por: Zehtabi, Shahryar, et al.
Publicado: (2025)
Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
por: Zehtabi, Shahryar, et al.
Publicado: (2022)
por: Zehtabi, Shahryar, et al.
Publicado: (2022)
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
por: Chu, Yun-Wei, et al.
Publicado: (2022)
por: Chu, Yun-Wei, et al.
Publicado: (2022)
Unlocking the Potential of Model Calibration in Federated Learning
por: Chu, Yun-Wei, et al.
Publicado: (2024)
por: Chu, Yun-Wei, et al.
Publicado: (2024)
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
por: Chu, Yun-Wei, et al.
Publicado: (2024)
por: Chu, Yun-Wei, et al.
Publicado: (2024)
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR
por: Nadimi, Fardis, et al.
Publicado: (2025)
por: Nadimi, Fardis, et al.
Publicado: (2025)
Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning
por: Zehtabi, Shahryar, et al.
Publicado: (2026)
por: Zehtabi, Shahryar, et al.
Publicado: (2026)
Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration
por: Borazjani, Kasra, et al.
Publicado: (2025)
por: Borazjani, Kasra, et al.
Publicado: (2025)
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
por: Chang, Zhan-Lun, et al.
Publicado: (2023)
por: Chang, Zhan-Lun, et al.
Publicado: (2023)
Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions
por: Chen, Evan, et al.
Publicado: (2025)
por: Chen, Evan, et al.
Publicado: (2025)
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
por: Zehtabi, Shahryar, et al.
Publicado: (2024)
por: Zehtabi, Shahryar, et al.
Publicado: (2024)
Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
por: Fang, Wenzhi, et al.
Publicado: (2026)
por: Fang, Wenzhi, et al.
Publicado: (2026)
Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
por: Abdisarabshali, Payam, et al.
Publicado: (2025)
por: Abdisarabshali, Payam, et al.
Publicado: (2025)
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
por: Wagle, Satyavrat, et al.
Publicado: (2024)
por: Wagle, Satyavrat, et al.
Publicado: (2024)
Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design
por: Chang, Zhan-Lun, et al.
Publicado: (2024)
por: Chang, Zhan-Lun, et al.
Publicado: (2024)
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
por: Fang, Wenzhi, et al.
Publicado: (2024)
por: Fang, Wenzhi, et al.
Publicado: (2024)
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches
por: Kim, Junghoon, et al.
Publicado: (2023)
por: Kim, Junghoon, et al.
Publicado: (2023)
Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
por: Fang, Wenzhi, et al.
Publicado: (2023)
por: Fang, Wenzhi, et al.
Publicado: (2023)
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
por: Wang, Su, et al.
Publicado: (2023)
por: Wang, Su, et al.
Publicado: (2023)
Synergies between Federated Foundation Models and Smart Power Grids
por: Hosseinalipour, Seyyedali, et al.
Publicado: (2025)
por: Hosseinalipour, Seyyedali, et al.
Publicado: (2025)
From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
por: Salihovic, Allan, et al.
Publicado: (2025)
por: Salihovic, Allan, et al.
Publicado: (2025)
Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
por: Abdisarabshali, Payam, et al.
Publicado: (2023)
por: Abdisarabshali, Payam, et al.
Publicado: (2023)
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
por: Yang, Xiaohong, et al.
Publicado: (2025)
por: Yang, Xiaohong, et al.
Publicado: (2025)
Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings
por: Yuan, Liangqi, et al.
Publicado: (2025)
por: Yuan, Liangqi, et al.
Publicado: (2025)
Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints
por: Chen, Evan, et al.
Publicado: (2026)
por: Chen, Evan, et al.
Publicado: (2026)
Detecting and Mitigating Backdoor Attacks in OTA-FL Systems: A Two-Stage Robust Aggregation Scheme
por: Ma, Xiaoyan, et al.
Publicado: (2026)
por: Ma, Xiaoyan, et al.
Publicado: (2026)
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
por: Chu, Yun-Wei, et al.
Publicado: (2024)
por: Chu, Yun-Wei, et al.
Publicado: (2024)
Gradient Correction in Federated Learning with Adaptive Optimization
por: Chen, Evan, et al.
Publicado: (2025)
por: Chen, Evan, et al.
Publicado: (2025)
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning
por: Lee, Seohyun, et al.
Publicado: (2024)
por: Lee, Seohyun, et al.
Publicado: (2024)
LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
por: Yuan, Liangqi, et al.
Publicado: (2025)
por: Yuan, Liangqi, et al.
Publicado: (2025)
TAP-SLF: Parameter-Efficient Adaptation of Vision Foundation Models for Multi-Task Ultrasound Image Analysis
por: Wan, Hui, et al.
Publicado: (2026)
por: Wan, Hui, et al.
Publicado: (2026)
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
por: Borazjani, Kasra, et al.
Publicado: (2025)
por: Borazjani, Kasra, et al.
Publicado: (2025)
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
por: Wang, Sihua, et al.
Publicado: (2023)
por: Wang, Sihua, et al.
Publicado: (2023)
Ejemplares similares
-
Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
por: Lee, Seohyun, et al.
Publicado: (2026) -
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
por: Han, Dong-Jun, et al.
Publicado: (2024) -
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
por: Lee, Seohyun, et al.
Publicado: (2025) -
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
por: Borazjani, Kasra, et al.
Publicado: (2025) -
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
por: Borazjani, Kasra, et al.
Publicado: (2024)