Communication-Efficient Decentralized Local SGD over Undirected Networks. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (CDC, 2021)

A Randomized Algorithm for Generalized Accelerated Projection Method. - Tiancheng Qin; S. Rasoul Etesami 001 (IEEE Control. Syst. Lett., 2021)

Optimal Online Algorithms for File-Bundle Caching and Generalization to Distributed Caching. - Tiancheng Qin; S. Rasoul Etesami 001 (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021)

Decentralized Federated Learning for Over-Parameterized Models. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (CDC, 2022)

The Role of Local Steps in Local SGD. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (CoRR, 2022)

Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration. - Masood S. Mortazavi; Tiancheng Qin; Ning Yan (CoRR, 2022)

Communication-Efficient Local SGD for Over-Parametrized Models with Partial Participation. - Tiancheng Qin; Jayesh Yevale; S. Rasoul Etesami 001 (CDC, 2023)

Local Environment Poisoning Attacks on Federated Reinforcement Learning. - Evelyn Ma; Tiancheng Qin; S. Rasoul Etesami 001 (CoRR, 2023)

Scalable and Independent Learning of Nash Equilibrium Policies in n-Player Stochastic Games with Unknown Independent Chains. - Tiancheng Qin; S. Rasoul Etesami 001 (CoRR, 2023)

Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent. - Tiancheng Qin; S. Rasoul Etesami 001 (L4DC, 2024)

Faster Convergence of Local SGD for Over-Parameterized Models. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (Trans. Mach. Learn. Res., 2024)