:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Assaad, Mohamad, Nehme, Zeinab, Debbah, Merouane
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2508.08013
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique
por: Mhanna, Elissa, et al.
Publicado: (2024)

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
por: Mhanna, Elissa, et al.
Publicado: (2024)

Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels
por: Ayli, Anthony, et al.
Publicado: (2026)

Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
por: Mhanna, Elissa, et al.
Publicado: (2024)

SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead
por: Kim, Minsu, et al.
Publicado: (2024)

WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
por: Li, Xin, et al.
Publicado: (2025)

Strategic Federated Learning: Application to Smart Meter Data Clustering
por: Mohamad, Hassan, et al.
Publicado: (2024)

Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization
por: Neto, Afonso de Sá Delgado, et al.
Publicado: (2024)

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
por: Egger, Maximilian, et al.
Publicado: (2025)

Energy-Efficient Quantized Federated Learning for Resource-constrained IoT devices
por: Compaoré, Wilfrid Sougrinoma, et al.
Publicado: (2025)

Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks
por: Deng, Xiumei, et al.
Publicado: (2025)

Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
por: Yang, Li, et al.
Publicado: (2025)

Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks
por: Thomas, Christo Kurisummoottil, et al.
Publicado: (2023)

Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching
por: Gattani, Vineet Sunil, et al.
Publicado: (2024)

BAQ: Efficient Bit Allocation Quantization for Large Language Models
por: Zhang, Chao, et al.
Publicado: (2025)

RF-GPT: Teaching AI to See the Wireless World
por: Zou, Hang, et al.
Publicado: (2026)

On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)
por: Yang, Zhaohui, et al.
Publicado: (2024)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
por: Ahmed, Mohamed Aboelenien, et al.
Publicado: (2025)

Fractional-Order Federated Learning
por: Partohaghighi, Mohammad, et al.
Publicado: (2026)

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation
por: Yang, Yuzhi, et al.
Publicado: (2025)

Reasoning Beyond Limits: Advances and Open Problems for LLMs
por: Ferrag, Mohamed Amine, et al.
Publicado: (2025)

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
por: Ferrag, Mohamed Amine, et al.
Publicado: (2025)

Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks
por: Zhang, Han, et al.
Publicado: (2025)

Neural Precoding in Complex Projective Spaces
por: Abdullah, Zaid, et al.
Publicado: (2026)

A Novel Collaborative Framework for Efficient Synchronization in Split Federated Learning over Wireless Networks
por: Gao, Haoran, et al.
Publicado: (2025)

Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
por: Elbakary, Ahmed, et al.
Publicado: (2024)

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
por: Jang, Jonggyu, et al.
Publicado: (2024)

Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
por: Zeinaty, Christophe El, et al.
Publicado: (2025)

Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
por: López-Pérez, David, et al.
Publicado: (2023)

Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
por: Xie, Bingyan, et al.
Publicado: (2024)

Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks
por: Zhang, Xinlu, et al.
Publicado: (2025)

Lightweight Federated Learning over Wireless Edge Networks
por: Hou, Xiangwang, et al.
Publicado: (2025)

Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
por: Zhang, Jianing, et al.
Publicado: (2025)

Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
por: Sahinoglu, Emre, et al.
Publicado: (2024)

Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning
por: Sherman, Uri, et al.
Publicado: (2025)

Visual Perceptual to Conceptual First-Order Rule Learning Networks
por: Gao, Kun, et al.
Publicado: (2026)

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

On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
por: Kwon, Jeongyeol, et al.
Publicado: (2024)

First-Order Methods for Linearly Constrained Bilevel Optimization
por: Kornowski, Guy, et al.
Publicado: (2024)

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