Deep Dive into Networked AI
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[Deep Dive] AirGNN: Graph Neural Networks over the air for Wireless…
[Deep Dive] AirGNN: Graph Neural Networks over the air for Wireless…
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Explore the cutting-edge of artificial intelligence (AI), machine learning, optimization, signal processing, wireless communications, networking, and broader networked systems. Join us as we dive deep into frontier research papers, uncover groundbreaking innovations, and discuss the possibilities shaping the future of technology and science.
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- [Deep Dive] AirGNN: Graph Neural Networks over the air for Wireless Networks · 17 min. · Sæson 1 Episode 10In this episode, we explore the nuances and key considerations of implementing graph neural networks as decentralized applications in wireless networks, such as source…
- [Deep Dive] GLANCE: Graph-based Learnable Digital Twin for Wireless Networks · 17 min. · Sæson 1 Episode 9In this episode, we dive into the applications of graph neural networks as a learnable digital twin of network simulators, which can accelerate network optimization by its fast…
- [Deep Dive] Opportunities and Challenges of Graph Neural Networks in Electrical Engineering · 26 min. · Sæson 1 Episode 8In this episode, we dive into a survey paper of the applications of graph neural networks in electrical engineering. This episode is based on our recent publication in Nature…
- [Deep Dive] Fully Distributed Online Training of GNNs in Networked Systems · 19 min. · Sæson 1 Episode 7In this episode, we dive into fully distributed online training of graph neural networks deployed in networked systems. This episode is based on our recent preprint by Rostyslav…
- [Deep Dive] Learning Decentralized Wireless Resource Allocations with Graph Neural Networks · 19 min. · Sæson 1 Episode 6In this episode, we dive into the combination of graph neural networks and unsupervised primal-dual learning, a model-free approach to scalable, intelligent wireless resource…
- [Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems · 23 min. · Sæson 1 Episode 5In this episode, we dive into annealed Langevin dynamics, a new approach to linear inverse problems, such as massive MIMO detection, image deblurring, and network topology…
- [Deep Dive] Neural OFDM Receivers for Wireless Communications · 23 min. · Sæson 1 Episode 4In this episode, we dive into neural OFDM receivers, a series of four papers published in IEEE Journal on Selected Areas in Communications (JSAC) and IEEE Transactions on…
- [Tutorial] Graph Neural Networks for Wireless Communications · 25 min. · Sæson 1 Episode 3In this episode, we dive into our own tutorial (IEEE ICMLCN, MILCOM 2024) on how could graph neural networks be used to enhance wireless communications. Generated using…
- [Deep Dive] Distributional Reinforcement Learning · 18 min. · Sæson 1 Episode 2In this episode, we dive into distributional reinforcement learning, including three papers from Google DeepMind and another Cell paper from Harvard. Generated using NotebookLM…
- [ICLR 2023] Graph-Based Deterministic Policy Gradient for Repetitive Combinatorial Optimization · 15 min. · Sæson 1 Episode 1Description: In this episode, we dive into our own paper published in ICLR 2023, a study on scalable reinforcement learning for networked systems. Generated using NotebookLM from…
