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10/31/2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient
Federated Learning (FL) plays a prominent role in solving machine learni...
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08/02/2022
Interplay between Distributed AI Workflow and URLLC
Distributed artificial intelligence (AI) has recently accomplished treme...
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06/06/2022
Low Complexity Beam Searching Using Trajectory Information in Mobile Millimeter-wave Networks
Millimeter-wave and terahertz systems rely on beamforming/combining code...
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04/16/2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning
This paper investigates efficient distributed training of a Federated Le...
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03/24/2020
Learning-based Handover in Mobile Millimeter-wave Networks
Millimeter-wave (mmWave) communication is considered as a key enabler of...
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03/19/2020
A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks
Inter-operator spectrum sharing in millimeter-wave bands has the potenti...
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03/10/2020
Communication-efficient Variance-reduced Stochastic Gradient Descent
We consider the problem of communication efficient distributed optimizat...
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11/30/2018
Fast and Reliable Initial Access with Random Beamforming for mmWave Networks
Millimeter-wave (mmWave) communications rely on directional transmission...
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08/06/2018
Low-latency Networking: Where Latency Lurks and How to Tame It
While the current generation of mobile and fixed communication networks ...
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02/18/2018