Latency-Oriented Secure Wireless Federated Learning: A Channel-Sharing Approach With Artificial Jamming
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3234422
Abstract: As a promising framework for distributed machine learning (ML), wireless federated learning (FL) faces the threat of eavesdropping attacks when a trained ML model is sent over a radio channel. To address this threat, we… read more here.
Keywords: channel sharing; wireless federated; federated learning; approach artificial ... See more keywords
Wireless Federated Learning (WFL) for 6G Networks—Part II: The Compute-Then-Transmit NOMA Paradigm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3121067
Abstract: As it has been discussed in the first part of this work, the utilization of advanced multiple access protocols and the joint optimization of the communication and computing resources can facilitate the reduction of delay… read more here.
Keywords: wfl; noma; wireless federated; transmit ... See more keywords
A Stackelberg Incentive Mechanism for Wireless Federated Learning With Differential Privacy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3181509
Abstract: In recent years, data privacy and security have attracted increasing attention in the age of artificial intelligence. Although federated learning (FL) can avoid data leakage by only sharing the machine learning models, it still suffers… read more here.
Keywords: incentive mechanism; wireless federated; federated learning; privacy ... See more keywords
Wireless Federated Learning With Dynamic Quantization and Bandwidth Adaptation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3202645
Abstract: Quantization has been increasingly proposed in wireless federated learning (FL) to compress transmission data, which therefore significantly reduces the training latency. In this letter, we further reduce the training latency by introducing dynamic quantization and… read more here.
Keywords: dynamic quantization; wireless federated; federated learning; quantization ... See more keywords
Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer From It?
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3581042
Abstract: Inherent communication noises have the potential to preserve privacy for wireless federated learning (WFL) but have been overlooked in digital communication systems predominantly using floating-point number standards, e.g., IEEE 754, for data storage and transmission.… read more here.
Keywords: bit; privacy; wireless federated; federated learning ... See more keywords
Economic and Energy-Efficient Wireless Federated Learning Based on Stackelberg Game
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2023.3319160
Abstract: Wireless federated learning (FL) is a distributed learning framework, in which mobile devices (MDs) collaboratively train a model while protecting data privacy. Considering selfishness of MDs, they are unwilling to sacrifice their resources to assist… read more here.
Keywords: stackelberg game; economic energy; wireless federated; game ... See more keywords
Accelerating Wireless Federated Learning via Nesterov’s Momentum and Distributed Principal Component Analysis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3329375
Abstract: A wireless federated learning system is investigated by allowing a server and multiple workers to exchange uncoded information via orthogonal wireless channels. Since the workers frequently upload local gradients to the server via band-limited channels,… read more here.
Keywords: pca wfl; pca awfl; pca; wireless federated ... See more keywords
Adaptive Model Pruning for Communication and Computation Efficient Wireless Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3342626
Abstract: Most existing wireless federated learning (FL) studies focused on homogeneous model settings where devices train identical local models. In this setting, the devices with poor communication and computation capabilities may delay the global model update… read more here.
Keywords: communication computation; model pruning; wireless federated; model ... See more keywords