Network-Aware Optimization of Distributed Learning for Fog Computing. - Yuwei Tu; Yichen Ruan; Satyavrat Wagle; Christopher G. Brinton; Carlee Joe-Wong (INFOCOM, 2020)

Use of Simulation-Aided Reinforcement Learning for Optimal Scheduling of Operations in Industrial Plants. - Satyavrat Wagle; Aditya A. Paranjape (WSC, 2020)

Network-Aware Optimization of Distributed Learning for Fog Computing. - Su Wang 007; Yichen Ruan; Yuwei Tu; Satyavrat Wagle; Christopher G. Brinton; Carlee Joe-Wong (IEEE/ACM Trans. Netw., 2021)

Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Mung Chiang; Christopher G. Brinton (GLOBECOM, 2022)

Optimal schedule generation for single-channel crude transfer using a multi-model approach. - Aditya A. Paranjape; Mayank Baranwal; Satyavrat Wagle; Rushi Lotti; Sushanta Majumder; Anne-Laure Bullière (Comput. Chem. Eng., 2022)

A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. - Satyavrat Wagle; Anindya Bijoy Das; David J. Love; Christopher G. Brinton (GLOBECOM, 2023)

Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. - Seohyun Lee; Anindya Bijoy Das; Satyavrat Wagle; Christopher G. Brinton (ICC, 2024)

Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning Without Labels. - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Christopher G. Brinton (IEEE Trans. Cogn. Commun. Netw., 2024)

Joint Spatio-Temporal Feature Extraction for Channel State Prediction in MIMO Systems. - Satyavrat Wagle; Akshay Malhotra; Shahab Hamidi-Rad; Mohamed Salah Ibrahim; Christopher G. Brinton (CCNC, 2025)