Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design
Fuente:
arXiv
Guardado en:
| Autores principales: | Chang, Zhan-Lun, Han, Dong-Jun, Hosseinalipour, Seyyedali, Chiang, Mung, Brinton, Christopher G. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
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)
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)
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)
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)
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)
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)
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)
Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
por: Zehtabi, Shahryar, et al.
Publicado: (2022)
por: Zehtabi, Shahryar, et al.
Publicado: (2022)
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
por: Wang, Su, et al.
Publicado: (2023)
por: Wang, Su, et al.
Publicado: (2023)
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)
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
por: Lee, Seohyun, et al.
Publicado: (2025)
por: Lee, Seohyun, 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)
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)
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)
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
por: Lan, Guangchen, et al.
Publicado: (2024)
por: Lan, Guangchen, et al.
Publicado: (2024)
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)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
por: Lee, Seohyun, et al.
Publicado: (2025)
por: Lee, Seohyun, et al.
Publicado: (2025)
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)
Arrivals and Departures
Publicado: (2024)
Publicado: (2024)
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)
Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
por: Shisher, Md Kamran Chowdhury, et al.
Publicado: (2025)
por: Shisher, Md Kamran Chowdhury, et al.
Publicado: (2025)
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
por: Oh, Myeung Suk, et al.
Publicado: (2021)
por: Oh, Myeung Suk, et al.
Publicado: (2021)
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
por: Yuan, Liangqi, et al.
Publicado: (2024)
por: Yuan, Liangqi, et al.
Publicado: (2024)
Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
por: Wang, Su, et al.
Publicado: (2026)
por: Wang, Su, et al.
Publicado: (2026)
Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
por: Zhang, Jianing, et al.
Publicado: (2025)
por: Zhang, Jianing, 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)
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO
por: Oh, Myeung Suk, et al.
Publicado: (2023)
por: Oh, Myeung Suk, et al.
Publicado: (2023)
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
por: Abdisarabshali, Payam, et al.
Publicado: (2024)
por: Abdisarabshali, Payam, et al.
Publicado: (2024)
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
por: Ebrahimi, Maryam, et al.
Publicado: (2025)
por: Ebrahimi, Maryam, 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)
AoI-based Scheduling of Correlated Sources for Timely Inference
por: Shisher, Md Kamran Chowdhury, et al.
Publicado: (2025)
por: Shisher, Md Kamran Chowdhury, et al.
Publicado: (2025)
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)
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement
por: Oh, Myeung Suk, et al.
Publicado: (2023)
por: Oh, Myeung Suk, et al.
Publicado: (2023)
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)
Departures and Arrivals: On the Importance of Researching Dangerously
por: Roshaunda L. Breeden, et al.
Publicado: (2024)
por: Roshaunda L. Breeden, et al.
Publicado: (2024)
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)
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)
Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization
por: Nadimi, Fardis, et al.
Publicado: (2025)
por: Nadimi, Fardis, et al.
Publicado: (2025)
Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation
por: Chen, Evan, et al.
Publicado: (2025)
por: Chen, Evan, et al.
Publicado: (2025)
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
por: Yuan, Liangqi, et al.
Publicado: (2023)
por: Yuan, Liangqi, et al.
Publicado: (2023)
Ejemplares similares
-
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
por: Chang, Zhan-Lun, et al.
Publicado: (2023) -
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
por: Wang, Su, et al.
Publicado: (2023) -
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
por: Han, Dong-Jun, et al.
Publicado: (2024) -
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
por: Zehtabi, Shahryar, et al.
Publicado: (2024) -
Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
por: Zehtabi, Shahryar, et al.
Publicado: (2025)