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06/20/2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
Cooperative multi-agent reinforcement learning (MARL) for navigation ena...
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06/02/2023
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations
In this paper, we investigate the problem of robust Reconfigurable Intel...
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05/03/2023
Codesign of Edge Intelligence and Automated Guided Vehicle Control
This work presents a harmonic design of autonomous guided vehicle (AGV) ...
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10/04/2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous dev...
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08/20/2021
Federated Distributionally Robust Optimization for Phase Configuration of RISs
In this article, we study the problem of robust reconfigurable intellige...
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06/12/2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
The performance of federated learning (FL) over wireless networks depend...
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05/04/2021
Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
In this paper, the problem of robust reconfigurable intelligent surface ...
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12/22/2020
Predictive Ultra-Reliable Communication: A Survival Analysis Perspective
Ultra-reliable communication (URC) is a key enabler for supporting immer...
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12/12/2020
Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach
This work studies a real-time environment monitoring scenario in the Ind...
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12/07/2020
Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning
Cooperative perception plays a vital role in extending a vehicle's sensi...
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11/09/2020
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization
This article deals with the problem of distributed machine learning, in ...
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10/09/2020
Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces
Reconfigurable Intelligent Surfaces (RISs) are recently gaining remarkab...
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08/06/2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Machine learning (ML) is a promising enabler for the fifth generation (5...
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04/30/2020
6G White Paper on Edge Intelligence
In this white paper we provide a vision for 6G Edge Intelligence. Moving...
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03/12/2020
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
Multiple-input multiple-output (MIMO) is a key for the fifth generation ...
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02/17/2020
Enhancing Video Streaming in Vehicular Networks via Resource Slicing
Vehicle-to-everything (V2X) communication is a key enabler that connects...
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02/03/2020
Federated Learning under Channel Uncertainty: Joint Client Scheduling and Resource Allocation
In this work, we propose a novel joint client scheduling and resource bl...
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01/27/2020
Extreme URLLC: Vision, Challenges, and Key Enablers
Notwithstanding the significant traction gained by ultra-reliable and lo...
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01/22/2020
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Vehicle-to-everything (V2X) communication is a growing area of communica...
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12/17/2019
Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks
While the notion of age of information (AoI) has recently been proposed ...
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11/27/2019
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach
In this letter, an age of information (AoI)-aware transmission power and...
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05/23/2019
Network Slicing for Vehicular Communication
Ultra-reliable vehicle-to-everything (V2X) communication is essential fo...
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05/13/2019
Wireless Edge Computing with Latency and Reliability Guarantees
Edge computing is an emerging concept based on distributing computing, s...
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12/07/2018
Wireless Network Intelligence at the Edge
Fueled by the availability of more data and computing power, recent brea...
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11/09/2018
Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail
While the notion of age of information (AoI) has recently emerged as an ...
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07/21/2018
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
In this paper, the problem of joint power and resource allocation for ul...
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05/11/2018
Federated Learning for Ultra-Reliable Low-Latency V2V Communications
In this paper, a novel joint transmit power and resource allocation appr...
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10/27/2017
