:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Ce, Ma, Shiyao, Zhang, Ke, Sun, Chen, Zhang, Wenqi
Format:	Preprint
Published:	2026
Subjects:	Signal Processing Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2601.10013
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission
by: Zheng, Ce, et al.
Published: (2026)

IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
by: Chen, Guangji, et al.
Published: (2024)

Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures
by: Dahl, Martin, et al.
Published: (2024)

Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks
by: Zhang, Kai, et al.
Published: (2025)

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks
by: Yang, Bo, et al.
Published: (2024)

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis
by: Zhang, Xueyao, et al.
Published: (2024)

Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
by: Hu, Chung-Hsuan, et al.
Published: (2022)

Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge
by: Qin, Shengling, et al.
Published: (2025)

Wireless Sensor Networks Nodes Clustering and Optimization Based on Fuzzy C-Means and Water Strider Algorithms
by: Alsharfa, Raya Majid, et al.
Published: (2025)

RASC: Region-Aware Self-Calibration for Dense 2D Sensor Arrays
by: Ma, Yinglei, et al.
Published: (2026)

Energy-Aware Federated Learning in Satellite Constellations
by: Razmi, Nasrin, et al.
Published: (2024)

Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Sparse Incremental Aggregation in Multi-Hop Federated Learning
by: Mukherjee, Sourav, et al.
Published: (2024)

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations
by: Edin, Adrian, et al.
Published: (2026)

Noise-Robust and Resource-Efficient ADMM-based Federated Learning
by: Lari, Ehsan, et al.
Published: (2024)

Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
by: Wang, Bin, et al.
Published: (2024)

Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
by: Barbieri, Luca, et al.
Published: (2024)

A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
by: Li, Kai, et al.
Published: (2024)

Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
by: Johnson, Bob, et al.
Published: (2025)

Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
by: Hu, Chung-Hsuan, et al.
Published: (2024)

Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks
by: Herrera, Daniel Pérez, et al.
Published: (2024)

Design of A Low-Latency and Parallelizable SVD Dataflow Architecture on FPGA
by: Du, Fangqiang, et al.
Published: (2025)

Convergence of Agnostic Federated Averaging
by: Herlock, et al.
Published: (2025)

SignSGD with Federated Voting
by: Park, Chanho, et al.
Published: (2024)

Over-the-air Federated Policy Gradient
by: Yang, Huiwen, et al.
Published: (2023)

An Experimental Exploration of In-Memory Computing for Multi-Layer Perceptrons
by: Carrinho, Pedro, et al.
Published: (2025)

PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges
by: K., Prashanthi S., et al.
Published: (2024)

Parallel-in-Time Kalman Smoothing Using Orthogonal Transformations
by: Gargir, Shahaf, et al.
Published: (2025)

Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
by: Becking, Daniel, et al.
Published: (2025)

Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
by: Chen, Hao, et al.
Published: (2026)

Learn More by Using Less: Distributed Learning with Energy-Constrained Devices
by: Pereira, Roberto, et al.
Published: (2024)

Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
by: Shi, Yuanming, et al.
Published: (2024)

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Physics-Inspired Distributed Radio Map Estimation
by: Yang, Dong, et al.
Published: (2025)

Decentralized Learning via Random Walk with Jumps
by: Liu, Zonghong, et al.
Published: (2026)

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
by: Bouton, Maxime, et al.
Published: (2025)

HPC-based Solvers of Minimisation Problems for Signal Processing
by: Cammarasana, Simone, et al.
Published: (2023)

Temporal Predictive Coding for Gradient Compression in Distributed Learning
by: Edin, Adrian, et al.
Published: (2024)

Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
by: Eslaminia, Ahmadreza, et al.
Published: (2024)

SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
by: Redie, Dawit Kiros, et al.
Published: (2026)