Imagen de Portada

Robust Segmented Analog Broadcast Design to Accelerate Wireless Federated Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Chong, Liang, Ben, Dong, Min, Afana, Ali, Ahmed, Yahia
Formato:	Preprint
Publicado:	2025
Materias:	Information Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving Wireless Federated Learning via Joint Downlink-Uplink Beamforming over Analog Transmission
por: Zhang, Chong, et al.
Publicado: (2025)

SegOTA: Accelerating Over-the-Air Federated Learning with Segmented Transmission
por: Zhang, Chong, et al.
Publicado: (2025)

Multi-Model Wireless Federated Learning with Downlink Beamforming
por: Zhang, Chong, et al.
Publicado: (2023)

Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning
por: Zhang, Chong, et al.
Publicado: (2024)

Fast Group Scheduling for Downlink Large-Scale Multi-Group Multicast Beamforming
por: Zhang, Chong, et al.
Publicado: (2024)

Beamforming and Device Selection Design in Federated Learning with Over-the-air Aggregation
por: Kalarde, Faeze Moradi, et al.
Publicado: (2023)

Power-Efficient Over-the-Air Aggregation with Receive Beamforming for Federated Learning
por: Kalarde, Faeze Moradi, et al.
Publicado: (2025)

Privacy Enhancement in Over-the-Air Federated Learning via Adaptive Receive Scaling
por: Kalarde, Faeze Moradi, et al.
Publicado: (2025)

Regularized Top-$k$: A Bayesian Framework for Gradient Sparsification
por: Bereyhi, Ali, et al.
Publicado: (2025)

Novel Gradient Sparsification Algorithm via Bayesian Inference
por: Bereyhi, Ali, et al.
Publicado: (2024)

Wireless Broadcast Gossip for Decentralized Drone Swarms: Success Probability, Contraction, and Optimal Aloha
por: Khalesi, Ali
Publicado: (2026)

Wireless Federated Learning over Resource-Constrained Networks: Digital versus Analog Transmissions
por: Yao, Jiacheng, et al.
Publicado: (2024)

Digital versus Analog Transmissions for Federated Learning over Wireless Networks
por: Yao, Jiacheng, et al.
Publicado: (2024)

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers
por: Huang, Zhenhao, et al.
Publicado: (2025)

Energy-Efficient Designs for SIM-Based Broadcast MIMO Systems
por: Perović, Nemanja Stefan, et al.
Publicado: (2024)

Aggregation Design for Personalized Federated Multi-Modal Learning over Wireless Networks
por: Yin, Benshun, et al.
Publicado: (2024)

Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks
por: Suárez-Casal, Pedro, et al.
Publicado: (2024)

Gaussian Broadcast on Grids
por: Jiradilok, Pakawut, et al.
Publicado: (2024)

Graph Representation Learning for Wireless Communications
por: Mohsenivatani, Maryam, et al.
Publicado: (2022)

Analog Over-the-Air Federated Learning with Interference-Based Energy Harvesting
por: Khel, Ahmad Massud Tota, et al.
Publicado: (2025)

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

Non-Linear Function Computation Broadcast
por: Salehi, Mohammad Reza Deylam, et al.
Publicado: (2025)

Covert Capacity of Degraded Broadcast Channels
por: Steinberg, Yossef, et al.
Publicado: (2026)

Few-Shot Channel-Agnostic Analog Coding: A Near-Optimal Scheme
por: Maddah-Ali, Mohammad Ali, et al.
Publicado: (2024)

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

Quantized Analog Beamforming Enabled Multi-task Federated Learning Over-the-air
por: Yao, Jiacheng, et al.
Publicado: (2025)

MAGRPO: Accelerated MARL Training for Fluid Antenna-Assisted Wireless Network Optimization
por: Wang, Wanzhe, et al.
Publicado: (2026)

Compressed Coding, AMP Based Decoding and Analog Spatial Coupling
por: Liang, Shansuo, et al.
Publicado: (2020)

Digital Twin Empowered In-Vehicular Channel Modeling and Wireless Planning in the Terahertz Band
por: Zhu, Mingjie, et al.
Publicado: (2025)

Perfectly-Private Analog Secure Aggregation in Federated Learning
por: Jaramillo-Velez, Delio, et al.
Publicado: (2025)

Robustness in Wireless Distributed Learning: An Information-Theoretic Analysis
por: He, Yangshuo, et al.
Publicado: (2024)

Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding
por: Zhang, Xin, et al.
Publicado: (2023)

The Capacity of 3 User Linear Computation Broadcast
por: Yao, Yuhang, et al.
Publicado: (2022)

Broadcast Channel Synthesis from Shared Randomness
por: Managoli, Malhar A., et al.
Publicado: (2024)

Lossy Source Coding with Broadcast Side Information
por: Chen, Yiqi, et al.
Publicado: (2026)

RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning
por: Ali, Abdulmoneam, et al.
Publicado: (2025)

FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning
por: Ali, Abdulmoneam, et al.
Publicado: (2026)

Pinching Antennas-Assisted Low-Latency Federated Learning Over Multi-User Wireless Networks
por: Asaad, Saba, et al.
Publicado: (2026)

Biased Federated Learning under Wireless Heterogeneity
por: Abrar, Muhammad Faraz Ul, et al.
Publicado: (2025)

An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning
por: Mu, Yujia, et al.
Publicado: (2024)