The following publications are possibly variants of this publication:
- Distributed Gaussian learning over time-varying directed graphsAngelia Nedic, Alex Olshevsky, Cesar A. Uribe. acssc 2016: 1710-1714 [doi]
- Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphsHongzhe Liu, Wenwu Yu, Wei Xing Zheng 0001, Angelia Nedic, Yanan Zhu. automatica, 159:111346, January 2024. [doi]
- Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social LearningCésar A. Uribe, Alex Olshevsky, Angelia Nedic. tcns, 9(3):1128-1140, 2022. [doi]
- Distributed optimization over time-varying directed graphsAngelia Nedic, Alex Olshevsky. cdc 2013: 6855-6860 [doi]
- Distributed Optimization Over Time-Varying Directed GraphsAngelia Nedic, Alex Olshevsky. tac, 60(3):601-615, 2015. [doi]
- Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis SetsCésar A. Uribe, Alex Olshevsky, Angelia Nedic. tcns, 9(3):1141-1153, 2022. [doi]
- Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed GraphsCésar A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie. cdc 2019: 3635-3640 [doi]
- On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed GraphsCésar A. Uribe, Ali Jadbabaie. amcc 2019: 3532-3537 [doi]