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05/18/2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization
Edge networks call for communication efficient (low overhead) and robust...
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05/13/2023
Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus
This paper considers the problem of distributed multi-agent learning, wh...
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02/11/2022
A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
There is a growing interest in the decentralized optimization framework ...
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01/14/2020
Asymptotic Performance Analysis of Non-Bayesian Quickest Change Detection with an Energy Harvesting Sensor
In this paper, we consider a non-Bayesian sequential change detection ba...
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11/01/2019
