activity
20162025
most citedExtreme URLLC: Vision, Challenges, and Key Enablers

104 citations · 305 across the 23 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.LG2020★ 3 cited

Cross Layer Optimization and Distributed Reinforcement Learning for Wireless 360° Video Streaming

Anis Elgabli, Mohammed S. Elbamby, Cristina Perfecto +3

Wirelessly streaming high quality 360 degree videos is still a challenging problem. When there are many users watching different 360 degree videos and competing for the computing a…

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…

cs.LG2020★ 11 cited

Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM

Chaouki Ben Issaid, Anis Elgabli, Jihong Park +2

In this paper, we propose a communication-efficiently decentralized machine learning framework that solves a consensus optimization problem defined over a network of inter-connecte…

cs.LG2020

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

Jihong Park, Sumudu Samarakoon, Anis Elgabli +4

Machine learning (ML) is a promising enabler for the fifth generation (5G) communication systems and beyond. By imbuing intelligence into the network edge, edge nodes can proactive…

cs.LG2020

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

Anis Elgabli, Jihong Park, Chaouki Ben Issaid +1

Wireless connectivity is instrumental in enabling scalable federated learning (FL), yet wireless channels bring challenges for model training, in which channel randomness perturbs…

cs.IT2020★ 104 cited

Extreme URLLC: Vision, Challenges, and Key Enablers

Jihong Park, Sumudu Samarakoon, Hamid Shiri +4

Notwithstanding the significant traction gained by ultra-reliable and low-latency communication (URLLC) in both academia and 3GPP standardization, fundamentals of URLLC remain elus…

cs.NI2020★ 44 cited

Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication

Hamza Khan, Anis Elgabli, Sumudu Samarakoon +2

Vehicle-to-everything (V2X) communication is a growing area of communication with a variety of use cases. This paper investigates the problem of vehicle-cell association in millime…