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01/11/2023
Network Adaptive Federated Learning: Congestion and Lossy Compression
In order to achieve the dual goals of privacy and learning across distri...
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05/13/2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
Federated learning systems facilitate training of global models in setti...
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01/06/2020
Constrained Network Slicing Games: Achieving service guarantees and network efficiency
Network slicing is a key capability for next generation mobile networks....
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07/22/2019
Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization
Many problems in discrete optimization can be formulated as the task of ...
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03/17/2019
Modeling and Optimization of Human-machine Interaction Processes via the Maximum Entropy Principle
We propose a data-driven framework to enable the modeling and optimizati...
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02/17/2019
Analysis of Data Harvesting by Unmanned Aerial Vehicles
This paper explores an emerging wireless architecture based on Unmanned ...
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01/22/2019
Elastic Multi-resource Network Slicing: Can Protection Lead to Improved Performance?
In order to meet the performance/privacy requirements of future data-int...
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04/24/2018
Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks
5G wireless networks are expected to support Ultra Reliable Low Latency ...
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12/14/2017
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks
Emerging 5G systems will need to efficiently support both broadband traf...
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10/03/2016