Search Results - "Sayed, Ali H."
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1
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
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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Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate
Published in IEEE transactions on signal processing (2021)“…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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Distributed Learning in Non-Convex Environments- Part II: Polynomial Escape From Saddle-Points
Published in IEEE transactions on signal processing (2021)“…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
Partial Information Sharing over Social Learning Networks
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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Performance Limits for Distributed Estimation Over LMS Adaptive Networks
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
Sparse Distributed Learning Based on Diffusion Adaptation
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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Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
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
Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data
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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Analysis of Spatial and Incremental LMS Processing for Distributed Estimation
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
Privatized graph federated learning
Published in EURASIP journal on advances in signal processing (01-12-2023)“…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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Diffusion recursive least-squares for distributed estimation over adaptive networks
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
Adaptive Networks
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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Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks
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
Distributed Adaptive Learning Under Communication Constraints
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
Distributed MMSE Relay Strategies for Wireless Sensor Networks
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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Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm
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
Revisiting correlation-based functional connectivity and its relationship with structural connectivity
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
Active Antenna Selection in Multiuser MIMO Communications
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
Graph Learning Over Partially Observed Diffusion Networks: Role of Degree Concentration
Published in IEEE open journal of signal processing (2022)“…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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Discovering Influencers in Opinion Formation over Social Graphs
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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