Microsoft

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL

Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...
IEEE

Joint Communication and Inference User Allocation in LLM Native Networks

Abstract: Large language models (LLMs) are game changers for future next-generation networks, unlocking new opportunities for disruptive and interactive services and applications. Edge computing ...
Microsoft

VL2: A Scalable and Flexible Data Center Network

Recognized as one of "the most important research results published in CS in recent years". To be agile and cost effective, data centers should allow dynamic resource allocation across large server ...
IEEE

Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods

Abstract: As artificial intelligence (AI) continues to gain prominence, understanding its application in customer relationship management (CRM) has become increasingly critical. Advances in computing ...
IEEE

MTL-CNET: An Advanced Integrated Sensing and Communication Framework Utilizing Complex Neural Networks and Multi-Task Learning

Abstract: Integrated sensing and communication (ISAC) is anticipated as a “game-changer” for the sixth generation systems by enhancing both efficiency and reliability. However, critical challenges ...
IEEE

Joint Multiservice Resource Optimization for Integrated Sensing, Communication, and Computing Networks

Abstract: To meet the multidimensional extreme performance requirements of intelligent services in sixth-generation mobile (6G) networks, it is crucial to implement the joint management of sensing, ...
IEEE

Multi-Modal Semantic Communication With Point Cloud Diffusion

Abstract: Semantic communication optimizes efficiency by selectively conveying the essential elements of information, thereby eliminating superfluous data transmission and enhancing the overall ...
IEEE

Generative Adversarial Networks for Synthetic Data Generation in Privacy-Preserving Health Informatics

Abstract: Privacy preserving health informatics deals with the problem of how to obtain informative analysis from the health-related information while ensuring that ...
IEEE

SDCRT: An Anonymous Communication Network Routing Algorithm Based on SDN Architecture

Abstract: Facing an increasing threat of malicious third-party monitoring on the Internet, protecting user communication privacy has become an essential requirement. Anonymous communication systems ...
IEEE

Big-Data Driven Anomaly Detection In Vehicular Social Networks Using Graph Autoencoders

Abstract: Vehicular social networks exchange a vast amount of data between vehicles and roadside infrastructure. To check the validity of the data passed between vehicles, machine learning can be used ...
IEEE

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions

Abstract: The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands for ...
IEEE

Low-Power Modular UAV Data Acquisition and Transmission System Based on Advanced Compression and 4G Communication

Abstract: Audio extraction systems have important applications in the field of uncrewed aerial vehicles (UAVs), especially in the areas of disaster emergency response, environmental monitoring and ...