Distributed Adaptive Learning Under Communication Constraints

We consider a network of agents that must solve an online optimization problem from continual observation of streaming data. To this end, the agents implement a distributed cooperative strategy where each agent is allowed to perform local exchange of information with its neighbors. In order to cope...

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Vydáno v:	IEEE open journal of signal processing Ročník 5; s. 1 - 37
Hlavní autoři:	Carpentiero, Marco, Matta, Vincenzo, Sayed, Ali H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	adaptation and learning Adaptive learning Communication Computer aided instruction Convergence Convexity Cost function Data compression diffusion strategies Distance learning Distributed optimization Exchanging Learning Network topologies Operators (mathematics) Quantization (signal) Signal processing algorithms Stochastic processes stochastic quantizers
ISSN:	2644-1322, 2644-1322
On-line přístup:	Získat plný text
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