João Xavier - RankMe

48 papers A* 1B 1C 1Misc 5Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. IEEE Trans. Signal Process. Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
2025	J	`jnl`	Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. IEEE Trans. Signal Process. Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2025	J	`jnl`	Designing trajectories in the Earth-Moon system: a Levenberg-Marquardt approach. CoRR António Nunes, Sérgio Brás, Pedro Batista, João Xavier
2024	—	`conf`	Communication-efficient Vertical Federated Learning via Compressed Error Feedback. EUSIPCO Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2024	J	`jnl`	Communication-efficient Vertical Federated Learning via Compressed Error Feedback. CoRR Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2023	J	`jnl`	A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. CoRR Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
2023	—	`conf`	A Skew-Insensitive Switched Source-Follower Analog Frontend for Time-Interleaved ADCs. PRIME David Leonardo, João Xavier, João Pedro Oliveira, João Goes
2023	J	`jnl`	Distributed Banach-Picard Iteration for Locally Contractive Maps. IEEE Trans. Autom. Control. Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
2023	J	`jnl`	Distributed Banach-Picard Iteration: Application to Distributed Parameter Estimation and PCA. IEEE Trans. Signal Process. Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
2023	C	`conf`	Predictive Integrators with Thermal Noise Cancellation. ISCAS João Xavier, David Leonardo, Pedro Barquinha, João Goes
2023	—	`conf`	Systematic Design Methodology for Optimization of Voltage Comparators in CMOS Technology. DoCEIS João Xavier, Pedro Barquinha, João Goes
2022	J	`jnl`	Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features. CoRR Pedro Valdeira, Cláudia Soares, João Xavier
2022	—	`conf`	Harvesting Curvatures for Communication-Efficient Distributed Optimization. IEEECONF Diogo Cardoso, Boyue Li, Yuejie Chi, João Xavier
2022	J	`jnl`	Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations. IEEE Trans. Signal Process. João Domingos, Cláudia Soares, João Xavier
2021	J	`jnl`	COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization. CoRR Manuel Madeira, Renato M. P. Negrinho, João Xavier, Pedro M. Q. Aguiar
2021	—	`conf`	Design of a Ring-Amplifier Robust Against PVT Variations in Deep-Nanoscale FinFET CMOS. DCIS João Xavier, Pedro Barquinha, João Goes
2021	J	`jnl`	Distributed Picard Iteration. CoRR Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
2021	J	`jnl`	Distributed Picard Iteration: Application to Distributed EM and Distributed PCA. CoRR Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
2020	J	`jnl`	Distributed Linear Estimation Via a Roaming Token. IEEE Trans. Signal Process. Lucas Balthazar, João Xavier, Bruno Sinopoli
2020	J	`jnl`	Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. Proc. IEEE Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura
2019	J	`jnl`	FADE: Fast and Asymptotically Efficient Distributed Estimator for Dynamic Networks. IEEE Trans. Signal Process. Antônio Simoes, João Xavier
2019	—	`conf`	Locating a target from uncertain data: convex supersets based on linear-fractional representations. EUROCON Cláudia Soares, João Xavier
2019	J	`jnl`	Primal-dual optimization methods for large-scale and distributed data analytics. CoRR Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura
2018	J	`jnl`	DJAM: Distributed Jacobi Asynchronous Method for Learning Personal Models. IEEE Signal Process. Lett. Inês Almeida, João Xavier
2018	J	`jnl`	Distributed Estimation Via a Roaming Token. CoRR Lucas Balthazar, João Xavier, Bruno Sinopoli
2018	J	`jnl`	FADE: Fast and Asymptotically efficient Distributed Estimator for dynamic networks. CoRR António Simões, João Xavier
2017	J	`jnl`	Distributed Learning With Time Correlated Information. IEEE Signal Process. Lett. Pedro Guerreiro, João Xavier
2017	J	`jnl`	Robustness Properties in Fictitious-Play-Type Algorithms. SIAM J. Control. Optim. Brian Swenson, Soummya Kar, João Xavier, David S. Leslie
2017	J	`jnl`	Single Sample Fictitious Play. IEEE Trans. Autom. Control. Brian Swenson, Soummya Kar, João Xavier
2016	Misc	`conf`	Computationally efficient learning in large-scale games: Sampled fictitious play revisited. ACSSC Brian Swenson, Soummya Kar, João Xavier
2016	J	`jnl`	Distributed Inference Over Directed Networks: Performance Limits and Optimal Design. IEEE Trans. Signal Process. Dragana Bajovic, José M. F. Moura, João Xavier, Bruno Sinopoli
2016	Misc	`conf`	Thermodynamic limit of interacting particle systems over dynamical networks. ACSSC Augusto Almeida Santos, Soummya Kar, José M. F. Moura, João Xavier
2015	—	`conf`	A computationally efficient implementation of fictitious play in a distributed setting. EUSIPCO Brian Swenson, Soummya Kar, João Xavier
2015	J	`jnl`	Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games. IEEE Trans. Signal Process. Brian Swenson, Soummya Kar, João Xavier
2015	J	`jnl`	From Weak Learning to Strong Learning in Fictitious Play Type Algorithms. CoRR Brian Swenson, Soummya Kar, João Xavier
2015	J	`jnl`	Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. IEEE Trans. Autom. Control. Dusan Jakovetic, José M. F. Moura, João Xavier
2015	J	`jnl`	Massive MIMO Full-Duplex Relaying with Optimal Power Allocation for Independent Multipairs. CoRR João S. Lemos, Francisco Rosário, Francisco A. Monteiro, João Xavier, António Rodrigues
2015	—	`conf`	Massive MIMO full-duplex relaying with optimal power allocation for independent multipairs. SPAWC João S. Lemos, Francisco Rosário, Francisco A. Monteiro, João Xavier, António Rodrigues
2015	Misc	`conf`	On asynchronous implementations of fictitious play for distributed learning. ACSSC Brian Swenson, Soummya Kar, João Xavier
2015	—	`conf`	On robustness properties in Empirical Centroid Fictitious Play. CDC Brian Swenson, Soummya Kar, João Xavier
2015	B	`conf`	Selecting observers for source localization via error exponents. ISIT Sabina Zejnilovic, João Xavier, João Gomes, Bruno Sinopoli
2014	J	`jnl`	3D to 2D bijection for spherical objects under equidistant fisheye projection. Comput. Vis. Image Underst. Aamir Ahmad, João Xavier, José Santos-Victor, Pedro U. Lima
2014	Misc	`conf`	Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates. ICASSP Dusan Jakovetic, João Xavier, José M. F. Moura
2014	—	`conf`	Distributed, simple and stable network localization. GlobalSIP Cláudia Soares, João Xavier, João Gomes
2014	Misc	`conf`	Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria. ACSSC Brian Swenson, Soummya Kar, João Xavier
2010	—	`conf`	Distributed detection over time varying networks: Large deviations analysis. Allerton Dragana Bajovic, Dusan Jakovetic, João Xavier, Bruno Sinopoli, José M. F. Moura
2009	—	`conf`	Robust linear dimensionality reduction for hypothesis testing with application to sensor selection. Allerton Dragana Bajovic, Bruno Sinopoli, João Xavier
2005	A*	`conf`	Fast Line, Arc/Circle and Leg Detection from Laser Scan Data in a Player Driver. ICRA João Xavier, Marco Pacheco, Daniel Castro, António E. B. Ruano, Urbano Nunes