Philip

Philip

‼️ Photonic AI for Real-time Threat Mitigation  

The future of 6G networks demands intelligent and sustainable security solutions. Our latest research, “Photonic-accelerated AI for cybersecurity in sustainable 6G networks,” introduces a novel approach using photonic-based Convolutional Neural Networks (CNNs) to detect Denial of Service (DoS) Hulk attacks…

QUIC(K) Advances in GPU Virtualization for the Edge 

In edge computing, efficient GPU utilization is critical—but legacy protocols like TCP are hitting their limits. In our recent study presented at WiMob 2024, we investigate GPU virtualization in edge scenarios using the QUIC protocol as a next-gen alternative to…

Is your infrastructure ready for the quantum era? 

Today’s security won’t survive tomorrow’s quantum computing. That’s why, as part of the CLEVER Project, we’ve deployed a fully PQC-protected network stack on NVIDIA’s BlueField-2 Data Processing Units (DPUs), achieving data center linerates with in-line PQC acceleration.  Q1: What did…

Newsletter 5.2 is out!

🤖 AI, meet the real world. In Deliverable D5.2, the CLEVER project puts edge AI into action—right where it matters most: factories, farms, and retail.  🔧 Smarter Orchestration  ⚙️ Virtualized GPU + RDMA  🔒 Confidential AI  Real-world Use Cases  🎯 Bottom…

New pricing strategy for edge resource allocation?

CLEVER has an answer! In today’s distributed cloud-edge continuum, balancing user experience with infrastructure cost is a game of trade-offs, and personalized incentives may be the winning move.  Our latest CLEVER Project paper introduces a novel QoE-driven spot pricing scheme…

GVirtuS gets a major boost with RDMA! 

We’re excited to present a breakthrough from the CLEVER Project: a novel RDMA over InfiniBand Communicator that significantly accelerates GPGPU virtualization using GVirtuS — enabling smarter, faster, and more efficient AI workloads across remote GPUs ⚡🧠  Traditional TCP/IP-based GPU virtualization…