Cover Image

Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abrar, Muhammad Faraz Ul, Michelusi, Nicolò
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing Systems and Control Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Biased Over-the-Air Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

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

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

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

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

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

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
by: Wang, Su, et al.
Published: (2023)

Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks
by: Liu, Chang, et al.
Published: (2024)

SCENE OTA-FD: Self-Centering Noncoherent Estimator for Over-the-Air Federated Distillation
by: Chen, Hao, et al.
Published: (2026)

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

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
by: Song, Zhuoqing, et al.
Published: (2021)

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
by: Doostmohammadian, Mohammadreza, et al.
Published: (2026)

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Distributed Allocation and Resource Scheduling Algorithms Resilient to Link Failure
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Quantized Decentralized Stochastic Learning over Directed Graphs
by: Taheri, Hossein, et al.
Published: (2020)

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks
by: Alavi, Seyed Amir, et al.
Published: (2019)

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

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

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

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

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

Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
by: Zheng, Ce, et al.
Published: (2026)

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

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

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

SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks
by: Gufran, Danish, et al.
Published: (2024)

Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
by: Saha, Rajarshi, et al.
Published: (2024)

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
by: Ballotta, Luca, et al.
Published: (2023)

Distributed Difference of Convex Optimization
by: Khatana, Vivek, et al.
Published: (2024)

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

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

Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty
by: Kim, Yumin, et al.
Published: (2026)

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

SALINA: Towards Sustainable Live Sonar Analytics in Wild Ecosystems
by: Xu, Chi, et al.
Published: (2024)

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