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Competing Adaptive Networks


Mar 29, 2021
Stefan Vlaski, Ali H. Sayed


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Federated Learning under Importance Sampling


Dec 14, 2020
Elsa Rizk, Stefan Vlaski, Ali H. Sayed


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Second-Order Guarantees in Federated Learning


Dec 02, 2020
Stefan Vlaski, Elsa Rizk, Ali H. Sayed


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Optimal Importance Sampling for Federated Learning


Oct 26, 2020
Elsa Rizk, Stefan Vlaski, Ali H. Sayed


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Network Classifiers Based on Social Learning


Oct 23, 2020
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed

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Graph-Homomorphic Perturbations for Private Decentralized Learning


Oct 23, 2020
Stefan Vlaski, Ali H. Sayed


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Dif-MAML: Decentralized Multi-Agent Meta-Learning


Oct 06, 2020
Mert Kayaalp, Stefan Vlaski, Ali H. Sayed


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Tracking Performance of Online Stochastic Learners


Apr 04, 2020
Stefan Vlaski, Elsa Rizk, Ali H. Sayed


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Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization


Mar 31, 2020
Stefan Vlaski, Ali H. Sayed


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Dynamic Federated Learning


Feb 20, 2020
Elsa Rizk, Stefan Vlaski, Ali H. Sayed


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Multitask learning over graphs


Jan 07, 2020
Roula Nassif, Stefan Vlaski, Cedric Richard, Jie Chen, Ali H. Sayed


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Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization


Oct 30, 2019
Stefan Vlaski, Ali H. Sayed

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Regularized Diffusion Adaptation via Conjugate Smoothing


Sep 20, 2019
Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed


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Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization


Aug 19, 2019
Stefan Vlaski, Ali H. Sayed


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Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points


Jul 03, 2019
Stefan Vlaski, Ali H. Sayed


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Stochastic Learning under Random Reshuffling with Constant Step-sizes


Oct 09, 2018
Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed


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