Alessio Maritan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Network-GIANT: Fully Distributed Newton-Type Optimization via Harmonic Hessian Consensus	2023	Alessio Maritan Ganesh D. Sharma Luca Schenato Subhrakanti Dey
+	ZO-JADE: Zeroth-order Curvature-Aware Multi-Agent Convex Optimization	2023	Alessio Maritan Luca Schenato
+	Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus	2023	Alessio Maritan Ganesh D. Sharma Luca Schenato Subhrakanti Dey
+	ZO-JADE: Zeroth-Order Curvature-Aware Distributed Multi-Agent Convex Optimization	2023	Alessio Maritan Luca Schenato
+	FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation	2023	Alessio Maritan Subhrakanti Dey Luca Schenato

Common Coauthors

Coauthor	Papers Together
Luca Schenato	5
Subhrakanti Dey	3
Ganesh D. Sharma	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Lyapunov Theory for Discrete Time Systems	2018	Nicoletta Bof Ruggero Carli Luca Schenato	2
+ PDF Chat	Newton-Raphson Consensus for Distributed Convex Optimization	2015	Damiano Varagnolo Filippo Zanella Angelo Cenedese Gianluigi Pillonetto Luca Schenato	2
+	ZO-JADE: Zeroth-Order Curvature-Aware Distributed Multi-Agent Convex Optimization	2023	Alessio Maritan Luca Schenato	2
+ PDF Chat	Multi-Agent Distributed Optimization via Inexact Consensus ADMM	2014	Tsung‐Hui Chang Mingyi Hong Xiangfeng Wang	1
+	The NEWUOA software for unconstrained optimization without derivatives	2006	M. J. D. Powell	1
+ PDF Chat	On the Linear Convergence of the ADMM in Decentralized Consensus Optimization	2014	Wei Shi Qing Ling Kun Yuan Gang Wu Wotao Yin	1
+ PDF Chat	Fast Distributed Gradient Methods	2014	Dušan Jakovetić João Xavier José M. F. Moura	1
+	Zeroth Order Nonconvex Multi-Agent Optimization over Networks	2017	Davood Hajinezhad Mingyi Hong Alfredo García	1
+	Derivative-Free and Blackbox Optimization	2017	Charles Audet Warren Hare	1
+	Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack	2018	Haishan Ye Zhichao Huang Cong Fang Chris Junchi Li Tong Zhang	1
+ PDF Chat	Newton-like Method with Diagonal Correction for Distributed Optimization	2017	Dragana Bajović Dušan Jakovetić Nataša Krejić Nataša Krklec Jerinkić	1
+ PDF Chat	On the Convergence of Decentralized Gradient Descent	2016	Kun Yuan Qing Ling Wotao Yin	1
+ PDF Chat	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods	2019	Albert S. Berahas Richard H. Byrd Jorge Nocedal	1
+ PDF Chat	Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs	2017	Angelia Nedić Alex Olshevsky Wei Shi	1
+	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization	2016	Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro	1
+	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction	2019	Boyue Li Shicong Cen Yuxin Chen Yuejie Chi	1
+	Hessian Inverse Approximation as Covariance for Random Perturbation in Black-Box Problems	2020	Jingyi Zhu	1
+	Distributed Zero-Order Optimization under Adversarial Noise	2021	Arya Akhavan Massimiliano Pontil Alexandre B. Tsybakov	1
+ PDF Chat	Zeroth-order algorithms for stochastic distributed nonconvex optimization	2022	Xinlei Yi Shengjun Zhang Tao Yang Karl Henrik Johansson	1
+	Curvature-Aware Derivative-Free Optimization	2021	Bumsu Kim HanQin Cai Daniel McKenzie Wotao Yin	1
+	Zeroth-Order Stochastic Coordinate Methods for Decentralized Non-convex Optimization	2022	Shengjun Zhang Colleen P. Bailey	1
+	DONE: Distributed Approximate Newton-type Method for Federated Edge Learning	2022	Canh T. Dinh Nguyen H. Tran Tuan Dung Nguyen Wei Bao Amir Rezaei Balef Bing Bing Zhou Albert Y. Zomaya	1
+	FedNL: Making Newton-Type Methods Applicable to Federated Learning	2021	Mher Safaryan Rustem Islamov Xun Qian Peter Richtárik	1
+	Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points	2018	Krishnakumar Balasubramanian Saeed Ghadimi	1
+	GIANT: Globally Improved Approximate Newton Method for Distributed Optimization	2017	Shusen Wang Fred Roosta Peng Xu Michael W. Mahoney	1
+	Introduction to Derivative-Free Optimization	2009	Andrew R. Conn Katya Scheinberg L. N. Vicente	1
+ PDF Chat	Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation	2008	Andrew R. Conn Katya Scheinberg L. N. Vicente	1