:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lyu, Zhonghao, Xiao, Ming, Xu, Jie, Skoglund, Mikael, Di Renzo, Marco
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2505.09214
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantization-Aware Collaborative Inference for Large Embodied AI Models
by: Lyu, Zhonghao, et al.
Published: (2026)

Land-then-transport: A Flow Matching-Based Generative Decoder for Wireless Image Transmission
by: Fu, Jingwen, et al.
Published: (2026)

Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning
by: Weng, Shudi, et al.
Published: (2025)

Coding-Enforced Resilient and Secure Aggregation for Hierarchical Federated Learning
by: Weng, Shudi, et al.
Published: (2026)

Coded Robust Aggregation for Distributed Learning under Byzantine Attacks
by: Li, Chengxi, et al.
Published: (2025)

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
by: Li, Chengxi, et al.
Published: (2024)

Gradient Coding in Decentralized Learning for Evading Stragglers
by: Li, Chengxi, et al.
Published: (2024)

Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
by: Li, Chengxi, et al.
Published: (2024)

Reinforcement Learning Based Goodput Maximization with Quantized Feedback in URLLC
by: Celebi, Hasan Basri, et al.
Published: (2025)

Robust Multi-modal Task-oriented Communications with Redundancy-aware Representations
by: Fu, Jingwen, et al.
Published: (2025)

Resource-Efficient Generative AI Model Deployment in Mobile Edge Networks
by: Liang, Yuxin, et al.
Published: (2024)

Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
by: Du, Xinnong, et al.
Published: (2025)

A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning
by: Filatrella, Dario, et al.
Published: (2026)

Refined PAC-Bayes Bounds for Offline Bandits
by: Gouverneur, Amaury, et al.
Published: (2025)

An Information-Theoretic Approach to Generalization Theory
by: Rodríguez-Gálvez, Borja, et al.
Published: (2024)

More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
by: Rodríguez-Gálvez, Borja, et al.
Published: (2023)

Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)

Instantiating Bayesian CVaR lower bounds in Interactive Decision Making Problems
by: Bongole, Raghav, et al.
Published: (2026)

Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality
by: Wang, Shuchan, et al.
Published: (2021)

Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices
by: Gräfe, Alexander, et al.
Published: (2026)

CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing
by: Zhao, Zijian, et al.
Published: (2024)

Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
by: Lyu, Zhonghao, et al.
Published: (2024)

An Information-Theoretic Analysis of Thompson Sampling with Infinite Action Spaces
by: Gouverneur, Amaury, et al.
Published: (2025)

A note on generalization bounds for losses with finite moments
by: Rodríguez-Gálvez, Borja, et al.
Published: (2024)

Integrating Optimization Theory with Deep Learning for Wireless Network Design
by: Coleri, Sinem, et al.
Published: (2024)

Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
by: Zeng, Liekang, et al.
Published: (2024)

The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
by: Wallach, Eleanor, et al.
Published: (2025)

An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
by: Gouverneur, Amaury, et al.
Published: (2024)

Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems
by: Gouverneur, Amaury, et al.
Published: (2024)

DriftDecode: One-Step Wireless Image Decoding via Drifting-Inspired Detail Recovery
by: Fu, Jingwen, et al.
Published: (2026)

Energy-Efficient Vision Transformer Inference for Edge-AI Deployment
by: Amanzhol, Nursultan, et al.
Published: (2025)

Generative AI Meets Wireless Sensing: Towards Wireless Foundation Model
by: Yang, Zheng, et al.
Published: (2025)

Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
by: Lin, Zheng, et al.
Published: (2023)

SparseDVFS: Sparse-Aware DVFS for Energy-Efficient Edge Inference
by: Zhang, Ziyang, et al.
Published: (2026)

Fluid Antenna Array Enhanced Over-the-Air Computation
by: Zhang, Deyou, et al.
Published: (2023)

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
by: Wang, Shuai, et al.
Published: (2025)

Machine Intelligence on Wireless Edge Networks
by: Vadlamani, Sri Krishna, et al.
Published: (2025)

Dynamic Quality-Latency Aware Routing for LLM Inference in Wireless Edge-Device Networks
by: Bao, Rui, et al.
Published: (2025)

Neural Substitute Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics
by: Zheng, Jialin, et al.
Published: (2025)

Model-Distributed Inference for Large Language Models at the Edge
by: Macario, Davide, et al.
Published: (2025)