888 results on '"Ali H. Sayed"'
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52. Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization.
53. Learning Graph Influence from Social Interactions.
54. Dynamic Federated Learning.
55. A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization.
56. Enhanced Diffusion Learning Over Networks.
57. Distributed Learning over Networks under Subspace Constraints.
58. Team Policy Learning for Multi-agent Reinforcement Learning.
59. Distributed Inference over Networks under Subspace Constraints.
60. Diffusion Learning in Non-convex Environments.
61. COVER: A Cluster-based Variance Reduced Method for Online Learning.
62. Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks.
63. Graph Learning with Partial Observations: Role of Degree Concentration.
64. Distributed Value-Function Learning with Linear Convergence Rates.
65. Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization.
66. On the Performance of Exact Diffusion over Adaptive Networks.
67. An Exponentially Convergent Algorithm for Learning Under Distributed Features.
68. Divide-and-Conquer Tomography for Large-Scale Networks.
69. Online Graph Learning from Sequential Data.
70. Efficient Variance-Reduced Learning Over Multi-Agent Networks.
71. A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing.
72. Decisions Under Binary Messaging Over Adaptive Networks.
73. Decentralized clustering for node-variant graph filtering with graph diffusion LMS.
74. Tomography of Large Adaptive Networks under the Dense Latent Regime : Invited Paper.
75. Distributed Diffusion Adaptation Over Graph Signals.
76. Tomography of Adaptive Multi-Agent Networks Under Limited Observation.
77. Convergence of Variance-Reduced Learning Under Random Reshuffling.
78. Distributed Coupled Learning Over Adaptive Networks.
79. Distributed Inference Over Multitask Graphs Under Smoothness.
80. Consistent Tomography over Diffusion Networks under the Low-Observability Regime.
81. Dual Coupled Diffusion for Distributed Optimization with Affine Constraints.
82. On the performance of random reshuffling in stochastic learning.
83. Exact diffusion strategy for optimization by networked agents.
84. Coordinate-descent adaptation over networks.
85. A blind Adaptive Stimulation Artifact Rejection (ASAR) engine for closed-loop implantable neuromodulation systems.
86. Decentralized exact coupled optimization.
87. A graph diffusion LMS strategy for adaptive graph signal processing.
88. Belief control strategies for interactions over weak graphs.
89. Learning by networked agents under partial information.
90. Diffusion gradient boosting for networked learning.
91. Estimating the Topology of Preferential Attachment Graphs Under Partial Observability
92. Diffusion Bayesian Decorrelation Algorithms Over Networks
93. Stochastic gradient descent with finite samples sizes.
94. Detection over diffusion networks: Asymptotic tools for performance prediction and simulation.
95. Online dual coordinate ascent learning.
96. Decentralized consensus optimization with asynchrony and delays.
97. Distributed learning over multitask networks with linearly related tasks.
98. The brain strategy for online learning.
99. Group diffusion LMS.
100. Diffusion LMS over multitask networks with noisy links.
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