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20112025
most citedEfficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

1.2k citations · 9.5k across the 261 of their papers we have counts for

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Showing 2020Show all

41 papers · 1 filter

cs.NI2020

Predictive Ultra-Reliable Communication: A Survival Analysis Perspective

Sumudu Samarakoon, Mehdi Bennis, Walid Saad +1

Ultra-reliable communication (URC) is a key enabler for supporting immersive and mission-critical 5G applications. Meeting the strict reliability requirements of these applications…

cs.NI2020

Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach

Yung-Lin Hsu, Chen-Feng Liu, Sumudu Samarakoon +2

This work studies a real-time environment monitoring scenario in the industrial Internet of things, where wireless sensors proactively collect environmental data and transmit it to…

cs.LG2020★ 7 cited

Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning

Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon +2

Cooperative perception plays a vital role in extending a vehicle's sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited communication resource…

cs.LG2020★ 34 cited

Federated Knowledge Distillation

Hyowoon Seo, Jihong Park, Seungeun Oh +2

Distributed learning frameworks often rely on exchanging model parameters across workers, instead of revealing their raw data. A prime example is federated learning that exchanges…

cs.IT2020

Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV

Qianqian Zhang, Walid Saad, Mehdi Bennis

In this paper, a novel communication framework that uses an unmanned aerial vehicle (UAV)-carried intelligent reflector (IR) is proposed to enhance multi-user downlink transmission…

cs.LG2020

BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization

Tamara Alshammari, Sumudu Samarakoon, Anis Elgabli +1

This article deals with the problem of distributed machine learning, in which agents update their models based on their local datasets, and aggregate the updated models collaborati…