Cover Image

Federated Dropout: Convergence Analysis and Resource Allocation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Sijing, Wen, Dingzhu, Liu, Xiaonan, You, Changsheng, Ratnarajah, Tharmalingam, Huang, Kaibin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
by: Xie, Sijing, et al.
Published: (2025)

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
by: Wen, Dingzhu, et al.
Published: (2025)

Performance Analysis of In-Band-Full-Duplex Multi-Cell Wideband IAB Networks
by: Zhang, Junkai, et al.
Published: (2023)

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

Aerial Semantic Relay-Enabled SAGIN: Joint UAV Deployment and Resource Allocation
by: Yin, Yanbo, et al.
Published: (2025)

A Survey on Integrated Sensing, Communication, and Computation
by: Wen, Dingzhu, et al.
Published: (2024)

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

Joint Power Allocation and Beamforming for In-band Full-duplex Multi-cell Multi-user Networks
by: Luo, Haifeng, et al.
Published: (2024)

Structured IB: Improving Information Bottleneck with Structured Feature Learning
by: Yang, Hanzhe, et al.
Published: (2024)

On the Secrecy Rate of In-Band Full-duplex Two-way Wiretap Channel
by: Garg, Navneet, et al.
Published: (2024)

Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning
by: Zhang, Xinlu, et al.
Published: (2024)

Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference
by: Wang, Zhanwei, et al.
Published: (2023)

FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
by: Chen, Qian, et al.
Published: (2024)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)

Achievable Rate Optimization for Stacked Intelligent Metasurface-Assisted Holographic MIMO Communications
by: Papazafeiropoulos, Anastasios, et al.
Published: (2024)

Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
by: Wen, Dingzhu, et al.
Published: (2023)

Gesture-Aware Indoor THz ISAC Systems for Adaptive Resource Allocation
by: Liu, Zhonghao, et al.
Published: (2026)

Finite-Precision Conjugate Gradient Method for Massive MIMO Detection
by: Fang, Yiming, et al.
Published: (2025)

A Graph Foundation Model for Wireless Resource Allocation
by: Sheng, Yucheng, et al.
Published: (2026)

CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
by: Liu, Zhonghao, et al.
Published: (2026)

A Robust Design for BackCom Assisted Hybrid NOMA
by: Hanif, Muhammad Fainan, et al.
Published: (2025)

On the Convergence Analysis of Muon
by: Shen, Wei, et al.
Published: (2025)

Hypergame Theory for Decentralized Resource Allocation in Multi-user Semantic Communications
by: Thomas, Christo Kurisummoottil, et al.
Published: (2024)

Collaborative Edge AI Inference over Cloud-RAN
by: Zhang, Pengfei, et al.
Published: (2024)

Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning
by: Ghaleb, Mustafa, et al.
Published: (2025)

IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation
by: Wang, Lingyi, et al.
Published: (2024)

Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth Budgets
by: Dubey, Prasanjit, et al.
Published: (2026)

Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks
by: Xie, Haihui, et al.
Published: (2026)

Graph Signal Diffusion Models for Wireless Resource Allocation
by: Uslu, Yigit Berkay, et al.
Published: (2026)

Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
by: Qu, Linping, et al.
Published: (2024)

UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
by: Zhagypar, Ruslan, et al.
Published: (2024)

Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
by: Wen, Haifeng, et al.
Published: (2024)

BeamVLM for Low-altitude Economy: Generative Beam Prediction via Vision-language Models
by: Kou, Chenran, et al.
Published: (2026)

Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
by: Zhang, Jierui, et al.
Published: (2026)

Global Convergence Analysis of Vanilla Gradient Descent for Asymmetric Matrix Completion
by: Zhang, Xu, et al.
Published: (2025)

A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
by: Wang, Yikun, et al.
Published: (2026)

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems
by: Zhao, Junjie, et al.
Published: (2026)

Two-Timescale Design for Active STAR-RIS Aided Massive MIMO Systems
by: Papazafeiropoulos, Anastasios, et al.
Published: (2024)

ProFL: Performative Robust Optimal Federated Learning
by: Zheng, Xue, et al.
Published: (2024)

Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications
by: He, Roy Y., et al.
Published: (2024)