:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mahmoudi, Afsaneh, Ghadikolaei, Hossein S., Júnior, José Mairton Barros Da Silva, Fischione, Carlo
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2204.07773
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers
by: Razavikia, Saeed, et al.
Published: (2023)

Dynamic Clustering in Federated Learning
by: Kim, Yeongwoo, et al.
Published: (2020)

Federated Learning Using Three-Operator ADMM
by: Kant, Shashi, et al.
Published: (2022)

Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
by: Mahmoudi, Afsaneh, et al.
Published: (2024)

Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
by: Mahmoudi, Afsaneh, et al.
Published: (2024)

Decentralized Fairness Aware Multi Task Federated Learning for VR Network
by: Tharakan, Krishnendu S., et al.
Published: (2025)

VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI
by: Karatas, Metehan, et al.
Published: (2026)

Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach
by: Kazemi, Amirreza, et al.
Published: (2026)

Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks
by: Mahmoudi, Afsaneh, et al.
Published: (2024)

A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
by: Wang, Hui-Po, et al.
Published: (2021)

BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection
by: Ganjalizadeh, Milad, et al.
Published: (2022)

FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning
by: Panda, Saroj Kumar, et al.
Published: (2025)

Machine Learning for Spectrum Sharing: A Survey
by: Guimarães, Francisco R. V., et al.
Published: (2024)

FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
by: Lee, Ming-Lun, et al.
Published: (2025)

Communication-Efficient Federated Learning With Data and Client Heterogeneity
by: Zakerinia, Hossein, et al.
Published: (2022)

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
by: Li, Shiwei, et al.
Published: (2024)

FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
by: Herzog, Alexander, et al.
Published: (2024)

FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness
by: Amer, Hossam, et al.
Published: (2026)

On Designing Modulation for Over-the-Air Computation -- Part II: Pyramid Sampling
by: Razavikia, Saeed, et al.
Published: (2025)

FedBiF: Communication-Efficient Federated Learning via Bits Freezing
by: Li, Shiwei, et al.
Published: (2025)

CauScale: Neural Causal Discovery at Scale
by: Peng, Bo, et al.
Published: (2026)

On Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design
by: Razavikia, Saeed, et al.
Published: (2025)

Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems
by: Chen, Chen, et al.
Published: (2025)

FedBWO: Enhancing Communication Efficiency in Federated Learning
by: Hayyolalam, Vahideh, et al.
Published: (2025)

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)

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

FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy
by: Niu, Ziru, et al.
Published: (2023)

Graph Federated Learning Based Proactive Content Caching in Edge Computing
by: Wang, Rui
Published: (2025)

CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
by: Gu, Xingrui, et al.
Published: (2024)

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

Semi-Supervised Federated Multi-Label Feature Selection with Fuzzy Information Measures
by: Mahanipour, Afsaneh, et al.
Published: (2025)

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection
by: Narimani, Mohammad Hasan, et al.
Published: (2025)

FedMPDD: Communication-Efficient Federated Learning with Privacy Preservation Attributes via Projected Directional Derivative
by: Rostami, Mohammadreza, et al.
Published: (2025)

CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2025)

Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs
by: Mahanipour, Afsaneh, et al.
Published: (2025)