Satyavrat Wagle

According to our database, Satyavrat Wagle authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis.

Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Aditya Sant, David J. Love, Christopher G. Brinton

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

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., December, 2024

Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning.

Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton

Proceedings of the IEEE International Conference on Communications, 2024

2023

A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning.

Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton

Proceedings of the IEEE Global Communications Conference, 2023

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

Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange.

Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton

Proceedings of the IEEE Global Communications Conference, 2022

2021

Network-Aware Optimization of Distributed Learning for Fog Computing.

Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

IEEE/ACM Trans. Netw., 2021

2020

Use of Simulation-Aided Reinforcement Learning for Optimal Scheduling of Operations in Industrial Plants.

Satyavrat Wagle, Aditya A. Paranjape

Proceedings of the Winter Simulation Conference, 2020

Network-Aware Optimization of Distributed Learning for Fog Computing.

Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

Proceedings of the 39th IEEE Conference on Computer Communications, 2020