Search Results for author:
Found 9 papers, 0 papers with code
Pre-trained Molecular Language Models with Random Functional Group Masking
Recent advancements in computational chemistry have leveraged the power of trans-former-based language models, such as MoLFormer, pre-trained using a vast amount of simplified molecular-input line-entry system (SMILES) sequences, to understand and predict molecular properties and activities, a critical step in fields like drug discovery and materials science.
An Efficient Privacy-aware Split Learning Framework for Satellite Communications
Our framework not only significantly improves the operational efficiency of satellite communications but also establishes a new benchmark in privacy-aware distributed learning, potentially revolutionizing data handling in space-based networks.
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents
This article explores the convergence of connectionist and symbolic artificial intelligence (AI), from historical debates to contemporary advancements.
A 3D Modeling Method for Scattering on Rough Surfaces at the Terahertz Band
In this paper, a three-dimensional (3D) stochastic model is proposed to characterize the THz scattering on rough surfaces.
Secure Performance Analysis of RIS-aided Wireless Communication Systems
Due to lack of direct link from IoT devices (both legal and illegal devices) to the access point, we benefit from RIS by considering two main secure performance metrics.
Two-timescale Resource Allocation for Automated Networks in IIoT
The rapid technological advances of cellular technologies will revolutionize network automation in industrial internet of things (IIoT).
Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach
In these networks, reconfigurable wireless network slicing is considered as one of the key elements for 5G and 6G networks.
Com-DDPG: A Multiagent Reinforcement Learning-based Offloading Strategy for Mobile Edge Computing
First, we discuss the task dependency model, task priority model, energy consumption model, and average latency from the perspective of server clusters and multidependence on mobile tasks.
Decision Making
Edge-computing
+1
Distributed, Parallel, and Cluster Computing
Multiagent Systems
Fully Decentralized Federated Learning Based Beamforming Design for UAV Communications
To handle the data explosion in the era of internet of things (IoT), it is of interest to investigate the decentralized network, with the aim at relaxing the burden to central server along with keeping data privacy.
Signal Processing
