Distributed Algorithms: Tsitsiklis and Beyond. - Vivek S. Borkar; Suhail Mohmad Shah (ITA, 2018)

Q-learning for Markov decision processes with a satisfiability criterion. - Suhail M. Shah; Vivek S. Borkar (Syst. Control. Lett., 2018)

Distributed Stochastic Approximation with Local Projections. - Suhail Mohmad Shah; Vivek S. Borkar (SIAM J. Optim., 2018)

Dynamic Social Learning Under Graph Constraints. - Konstantin E. Avrachenkov; Vivek S. Borkar; Sharayu Moharir; Suhail Mohmad Shah (IEEE Trans. Control. Netw. Syst., 2022)

Robust Federated Learning Over Noisy Fading Channels. - Suhail M. Shah; Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2023)

Model Compression for Communication Efficient Federated Learning. - Suhail Mohmad Shah; Vincent K. N. Lau (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adaptive Consensus: A Network Pruning Approach for Decentralized Optimization. - Suhail M. Shah; Albert S. Berahas; Raghu Bollapragada (SIAM J. Optim., 2024)