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Found 10 papers, 2 papers with code
Compression before Fusion: Broadcast Semantic Communication System for Heterogeneous Tasks
Semantic communication has emerged as new paradigm shifts in 6G from the conventional syntax-oriented communications.
DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-shot Learning
In this paper, we propose a Domain-Agnostic and Sample-Efficient wireless indoor crowd Counting (DASECount) framework that suffices to attain robust cross-domain detection accuracy given very limited data samples in new domains.
Deployment Optimization of Dual-functional UAVs for Integrated Localization and Communication
In emergency scenarios, unmanned aerial vehicles (UAVs) can be deployed to assist localization and communication services for ground terminals.
A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms
The rapid growth of electric vehicles (EVs) has promised a next-generation transportation system with reduced carbon emission.
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
In practice, the DNN model is re-trained and updated periodically at the edge server.
Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility
In this paper, we consider a UAV-enabled MEC platform that serves multiple mobile ground users with random movements and task arrivals.
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
The proliferation of Internet-of-Things (IoT) devices and cloud-computing applications over siloed data centers is motivating renewed interest in the collaborative training of a shared model by multiple individual clients via federated learning (FL).
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
In particular, we aim to design an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints.
Edge-computing
Networking and Internet Architecture
Decentralized Federated Learning via SGD over Wireless D2D Networks
In this paper, wireless protocols are proposed that implement DSGD by accounting for the presence of path loss, fading, blockages, and mutual interference.
Information Theory Networking and Internet Architecture Signal Processing Information Theory
Deep Reinforcement Learning for Online Offloading in Wireless Powered Mobile-Edge Computing Networks
To tackle this problem, we propose in this paper a Deep Reinforcement learning-based Online Offloading (DROO) framework that implements a deep neural network to generate offloading decisions.
Networking and Internet Architecture
