:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abrar, Muhammad Faraz Ul, Michelusi, Nicolò
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2403.19849
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)

Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)

Time-Varying Optimization for Streaming Data Via Temporal Weighting
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)

Non-Coherent Over-the-Air Decentralized Gradient Descent
by: Michelusi, Nicolo'
Published: (2022)

Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization
by: Michelusi, Nicolò
Published: (2026)

NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
by: Wen, Haifeng, et al.
Published: (2024)

Decentralized Time-Varying Optimization for Streaming Data via Temporal Weighting
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2026)

Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks
by: Shaban, Zubair, et al.
Published: (2025)

Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework
by: Larsson, Erik G., et al.
Published: (2025)

Learned Digital Codes for Over-the-Air Federated Learning
by: Tarizzo, Antonio, et al.
Published: (2025)

Blind Federated Learning via Over-the-Air q-QAM
by: Razavikia, Saeed, et al.
Published: (2023)

Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning
by: Khan, Fazal Muhammad Ali, et al.
Published: (2024)

Distributed Machine Learning Approach for Low-Latency Localization in Cell-Free Massive MIMO Systems
by: Kumar, Manish, et al.
Published: (2025)

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

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
by: Hu, Zihao, et al.
Published: (2025)

Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
by: Asaad, Saba, et al.
Published: (2026)

Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation
by: Elshazly, Ahmed M., et al.
Published: (2026)

Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
by: Liu, Hang, et al.
Published: (2023)

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

Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
by: Yue, Yiyang, et al.
Published: (2026)

OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers
by: Zhang, Anbang, et al.
Published: (2025)

Joint UAV Placement and Transceiver Design in Multi-User Wireless Relay Networks
by: Chou, Tzu-Hsuan, et al.
Published: (2025)

Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces
by: Pandolfo, Mario Edoardo, et al.
Published: (2025)

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

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
by: Liu, Hang, et al.
Published: (2021)

Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets
by: Amarlingam, Madapu, 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)

Over-the-Air Inference over Multi-hop MIMO Networks
by: Bian, Chenghong, et al.
Published: (2025)

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning
by: Lang, Natalie, et al.
Published: (2025)

Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
by: Gao, Zhan, et al.
Published: (2023)

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

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity
by: Hong, Jun-Pyo, et al.
Published: (2025)

VecComp: Vector Computing via MIMO Digital Over-the-Air Computation
by: Razavikia, Saeed, et al.
Published: (2025)

Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
by: Lee, Youngjoon, et al.
Published: (2024)

FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
by: Xiao, Bingnan, et al.
Published: (2024)

Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)

STAR-RIS-Assisted Hybrid NOMA mmWave Communication: Optimization and Performance Analysis
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2022)

Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
by: Bose, Shourya, et al.
Published: (2024)

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning
by: Comminiello, Danilo, et al.
Published: (2024)