Next-Generation Multiple Access With Cell-Free Massive MIMO
To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm
shift from conventional cellular networks to distributed communication systems is imperative …
shift from conventional cellular networks to distributed communication systems is imperative …
A Comprehensive Survey on Communication-Efficient Federated Learning in Mobile Edge Environments
In traditional centralized machine learning, transmitting raw data to a cloud center incurs
high communication costs and raises privacy concerns. This is particularly challenging in …
high communication costs and raises privacy concerns. This is particularly challenging in …
[HTML][HTML] A Survey on Energy-Efficient Design for Federated Learning over Wireless Networks
Federated learning (FL) has emerged as a decentralized, cutting-edge framework for
training models across distributed devices, such as smartphones, IoT devices, and local …
training models across distributed devices, such as smartphones, IoT devices, and local …
Over-The-Air Federated Learning in User-Centric Cell-Free Networks
This letter presents a new over-the-air federated learning (OTA-FL) system supported by a
user-centric cell-free (UCCF) network. We propose a two-level hierarchical deep …
user-centric cell-free (UCCF) network. We propose a two-level hierarchical deep …
Over-the-Air Computation in Cell-Free Massive MIMO Systems
Over-the-air computation (AirComp) is considered as a communication-efficient solution for
data aggregation and distributed learning by exploiting the superposition properties of …
data aggregation and distributed learning by exploiting the superposition properties of …
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
The emerging integration of Internet of Things (IoT) and AI has unlocked numerous
opportunities for innovation across diverse industries. However, growing privacy concerns …
opportunities for innovation across diverse industries. However, growing privacy concerns …
Scalable Cell-Free Massive MIMO Networks Using Resource-Optimized Backhaul and PSO-Driven Fronthaul Clustering
Scalability presents a formidable challenge in traditional Cell-Free (CF) massive Multiple
Input Multiple Output (mMIMO) networks, driven by escalating computational demands on …
Input Multiple Output (mMIMO) networks, driven by escalating computational demands on …
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint
Y Wang, C Zhang, Y Zhuang, M Dai, H Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Wireless networks supporting artificial intelligence have gained significant attention, with
Over-the-Air Federated Learning emerging as a key application due to its unique …
Over-the-Air Federated Learning emerging as a key application due to its unique …
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Federated Learning (FL) enables clients to share learning parameters instead of local data,
reducing communication overhead. Traditional wireless networks face latency challenges …
reducing communication overhead. Traditional wireless networks face latency challenges …
Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems
Wireless devices are expected to provide a wide range of AI services in 6G networks. The
increasing computing capabilities of wireless devices and the surge of wireless data …
increasing computing capabilities of wireless devices and the surge of wireless data …