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• Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
  2025
• Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
  2020
• Graph-Homomorphic Perturbations for Private Decentralized Learning
  2020
• Network Classifiers Based on Social Learning
  2020
• Learning from Heterogeneous Data Based on Social Interactions over Graphs
  2021
• Privatized Graph Federated Learning
  2022
• Dencentralized learning in the presence of low-rank noise
  2022
• Local Graph-homomorphic Processing for Privatized Distributed Systems
  2022
• Distributed Bayesian Learning of Dynamic States
  2022
• Enforcing Privacy in Distributed Learning with Performance Guarantees
  2023
• Multi-Agent Adversarial Training Using Diffusion Learning
  2023
• Decentralized Adversarial Training over Graphs
  2023