Copertina

A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ouyang, Jinhao, Liu, Yuan, Liu, Hang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
di: Li, Jinhao, et al.
Pubblicazione: (2025)

Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
di: Mahadevan, Vagul, et al.
Pubblicazione: (2026)

Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control
di: Feng, Lechen, et al.
Pubblicazione: (2024)

Hierarchical Federated Learning with Multi-Timescale Gradient Correction
di: Fang, Wenzhi, et al.
Pubblicazione: (2024)

Adaptive Client Selection via Q-Learning-based Whittle Index in Wireless Federated Learning
di: Li, Qiyue, et al.
Pubblicazione: (2025)

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
di: Liu, Hang, et al.
Pubblicazione: (2020)

FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing
di: Du, Junye, et al.
Pubblicazione: (2026)

Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach
di: Wang, Kaidi, et al.
Pubblicazione: (2022)

Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training
di: Qin, Jiuming, et al.
Pubblicazione: (2024)

Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?
di: Li, Weicai, et al.
Pubblicazione: (2025)

PACE: Two-Timescale Self-Evolution for Small Language Model Agents
di: Ling, Chen, et al.
Pubblicazione: (2026)

Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
di: Panda, Prashansa, et al.
Pubblicazione: (2024)

Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
di: Niu, Ziru, et al.
Pubblicazione: (2025)

Federated Latent Factor Learning for Recovering Wireless Sensor Networks Signal with Privacy-Preserving
di: Yu, Chengjun, et al.
Pubblicazione: (2025)

Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
di: Yongacoglu, Bora, et al.
Pubblicazione: (2023)

Local Timescale Gates for Timescale-Robust Continual Spiking Neural Networks
di: Tiwari, Ansh, et al.
Pubblicazione: (2025)

Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework
di: Mao, Jiayu, et al.
Pubblicazione: (2024)

A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
di: Koursioumpas, Nikolaos, et al.
Pubblicazione: (2023)

A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance
di: Wolter, Axel Friedrich, et al.
Pubblicazione: (2025)

BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning
di: Liu, Yi, et al.
Pubblicazione: (2024)

Does Feedback Alignment Work at Biological Timescales?
di: Bacvanski, Marc Gong, et al.
Pubblicazione: (2025)

Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
di: Wang, Yanmeng, et al.
Pubblicazione: (2025)

Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
di: Wang, Vivienne Huiling, et al.
Pubblicazione: (2026)

Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
di: Liu, Xiaonan, et al.
Pubblicazione: (2023)

On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
di: Zeng, Dun, et al.
Pubblicazione: (2023)

Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
di: Lin, Tianyi, et al.
Pubblicazione: (2024)

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
di: Sun, Pengcheng, et al.
Pubblicazione: (2025)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
di: Guo, Mingzhao, et al.
Pubblicazione: (2024)

Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic
di: Wang, Leo Muxing, et al.
Pubblicazione: (2026)

Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clients
di: Ads, Mohamed, et al.
Pubblicazione: (2024)

LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
di: Sun, Pengcheng, et al.
Pubblicazione: (2025)

Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach
di: Chen, Shengchao, et al.
Pubblicazione: (2026)

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
di: Hu, Yulan, et al.
Pubblicazione: (2023)

Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions
di: Holme, Kristian, et al.
Pubblicazione: (2026)

Transmit Weights, Not Features: Orthogonal-Basis Aided Wireless Point-Cloud Transmission
di: Chang, Junlin, et al.
Pubblicazione: (2025)

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface
di: Liu, Hang, et al.
Pubblicazione: (2021)

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
di: Liang, Zhiding, et al.
Pubblicazione: (2024)

SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
di: Yang, Jiarong, et al.
Pubblicazione: (2024)

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
di: Wang, Jiacheng, et al.
Pubblicazione: (2025)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
di: Soumma, Shovito Barua, et al.
Pubblicazione: (2024)