Search Results - "Sayed, Ali H."

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  1. 1

    Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks by Jianshu Chen, Sayed, Ali H.

    Published in IEEE transactions on signal processing (01-08-2012)
    “…We propose an adaptive diffusion mechanism to optimize global cost functions in a distributed manner over a network of nodes. The cost function is assumed to…”
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  2. 2

    Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate by Vlaski, Stefan, Sayed, Ali H.

    “…Driven by the need to solve increasingly complex optimization problems in signal processing and machine learning, there has been increasing interest in…”
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  3. 3

    Distributed Learning in Non-Convex Environments- Part II: Polynomial Escape From Saddle-Points by Vlaski, Stefan, Sayed, Ali H.

    “…The diffusion strategy for distributed learning from streaming data employs local stochastic gradient updates along with exchange of iterates over…”
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  4. 4

    Partial Information Sharing over Social Learning Networks by Bordignon, Virginia, Matta, Vincenzo, Sayed, Ali H.

    Published in IEEE transactions on information theory (01-03-2023)
    “…This work addresses the problem of sharing partial information within social learning strategies. In social learning, agents solve a distributed multiple…”
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  5. 5

    Performance Limits for Distributed Estimation Over LMS Adaptive Networks by Xiaochuan Zhao, Sayed, A. H.

    Published in IEEE transactions on signal processing (01-10-2012)
    “…In this work, we analyze the mean-square performance of different strategies for distributed estimation over least-mean-squares (LMS) adaptive networks. The…”
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  6. 6

    Sparse Distributed Learning Based on Diffusion Adaptation by Di Lorenzo, P., Sayed, A. H.

    Published in IEEE transactions on signal processing (01-03-2013)
    “…This article proposes diffusion LMS strategies for distributed estimation over adaptive networks that are able to exploit sparsity in the underlying system…”
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  7. 7

    Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis by Lopes, C.G., Sayed, A.H.

    Published in IEEE transactions on signal processing (01-07-2008)
    “…We formulate and study distributed estimation algorithms based on diffusion protocols to implement cooperation among individual adaptive nodes. The individual…”
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  8. 8

    Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data by Xiaochuan Zhao, Sheng-Yuan Tu, Sayed, A. H.

    Published in IEEE transactions on signal processing (01-07-2012)
    “…Adaptive networks rely on in-network and collaborative processing among distributed agents to deliver enhanced performance in estimation and inference tasks…”
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  9. 9

    Analysis of Spatial and Incremental LMS Processing for Distributed Estimation by Cattivelli, Federico S, Sayed, Ali H

    Published in IEEE transactions on signal processing (01-04-2011)
    “…Consider a set of nodes distributed spatially over some region forming a network, where every node takes measurements of an underlying process. The objective…”
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  10. 10

    Privatized graph federated learning by Rizk, Elsa, Vlaski, Stefan, Sayed, Ali H.

    “…Federated learning is a semi-distributed algorithm, where a server communicates with multiple dispersed clients to learn a global model. The federated…”
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  11. 11

    Diffusion recursive least-squares for distributed estimation over adaptive networks by Cattivelli, F.S., Lopes, C.G., Sayed, A.H.

    Published in IEEE transactions on signal processing (01-05-2008)
    “…We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in a collaborative manner some…”
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  12. 12

    Adaptive Networks by Sayed, Ali H.

    Published in Proceedings of the IEEE (01-04-2014)
    “…This paper surveys recent advances related to adaptation, learning, and optimization over networks. Various distributed strategies are discussed that enable a…”
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  13. 13

    Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks by Bertrand, A., Moonen, M., Sayed, A. H.

    Published in IEEE transactions on signal processing (01-11-2011)
    “…We study the problem of distributed least-squares estimation over ad hoc adaptive networks, where the nodes have a common objective to estimate and track a…”
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  14. 14

    Distributed Adaptive Learning Under Communication Constraints by Carpentiero, Marco, Matta, Vincenzo, Sayed, Ali H.

    Published in IEEE open journal of signal processing (01-01-2024)
    “…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…”
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  15. 15

    Distributed MMSE Relay Strategies for Wireless Sensor Networks by Khajehnouri, N., Sayed, A.H.

    Published in IEEE transactions on signal processing (01-07-2007)
    “…A fundamental task in a wireless sensor network is to broadcast some measured data from an origin sensor to a destination sensor. Since the sensors are…”
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  16. 16

    Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm by Leilei Li, Chambers, J.A., Lopes, C.G., Sayed, A.H.

    Published in IEEE transactions on signal processing (01-01-2010)
    “…We study the problem of distributed estimation based on the affine projection algorithm (APA), which is developed from Newton's method for minimizing a cost…”
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  17. 17

    Revisiting correlation-based functional connectivity and its relationship with structural connectivity by Liégeois, Raphael, Santos, Augusto, Matta, Vincenzo, Van De Ville, Dimitri, Sayed, Ali H.

    Published in Network neuroscience (Cambridge, Mass.) (01-12-2020)
    “…Patterns of brain structural connectivity (SC) and functional connectivity (FC) are known to be related. In SC-FC comparisons, FC has classically been…”
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  18. 18

    Active Antenna Selection in Multiuser MIMO Communications by Sadek, M., Tarighat, A., Sayed, A.H.

    Published in IEEE transactions on signal processing (01-04-2007)
    “…The paper develops a dynamic antenna scheduling strategy for downlink MIMO communications, where a subset of the receive antennas at certain users is…”
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  19. 19

    Graph Learning Over Partially Observed Diffusion Networks: Role of Degree Concentration by Matta, Vincenzo, Santos, Augusto, Sayed, Ali H.

    “…This work examines the problem of learning the topology of a network from the samples of a diffusion process evolving at the network nodes, under the…”
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  20. 20

    Discovering Influencers in Opinion Formation over Social Graphs by Shumovskaia, Valentina, Kayaalp, Mert, Cemri, Mert, Sayed, Ali H.

    Published in IEEE open journal of signal processing (01-01-2023)
    “…The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing…”
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