Hypothesis assignment and partial likelihood averaging for cooperative estimation. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (CDC, 2019)

Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (CDC, 2020)

Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (IEEE Control. Syst. Lett., 2022)

Distributed Variational Inference for Online Supervised Learning. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (CoRR, 2023)

Privacy-Preserving Convergent Dynamic Average Consensus via State Decomposition. - Parth Paritosh; Lance Kaplan (SSP, 2025)

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (IEEE Trans. Netw. Sci. Eng., 2025)