Network-aware optimization of distributed learning for fog computing Y Tu, Y Ruan, S Wagle, CG Brinton, C Joe-Wong IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2509-2518, 2020 | 74 | 2020 |
Network-aware optimization of distributed learning for fog computing S Wang, Y Ruan, Y Tu, S Wagle, CG Brinton, C Joe-Wong IEEE/ACM Transactions on Networking 29 (5), 2019-2032, 2021 | 53 | 2021 |
Use of simulation-aided reinforcement learning for optimal scheduling of operations in industrial plants S Wagle, AA Paranjape 2020 Winter Simulation Conference (WSC), 572-583, 2020 | 7 | 2020 |
Embedding alignment for unsupervised federated learning via smart data exchange S Wagle, S Hosseinalipour, N Khosravan, M Chiang, CG Brinton GLOBECOM 2022-2022 IEEE Global Communications Conference, 492-497, 2022 | 5 | 2022 |
Optimal schedule generation for single-channel crude transfer using a multi-model approach AA Paranjape, M Baranwal, S Wagle, R Lotti, S Majumder, AL Bullière Computers & Chemical Engineering 160, 107732, 2022 | 3 | 2022 |
A reinforcement learning-based approach to graph discovery in D2D-enabled federated learning S Wagle, AB Das, DJ Love, CG Brinton GLOBECOM 2023-2023 IEEE Global Communications Conference, 225-230, 2023 | 2 | 2023 |
Unsupervised federated optimization at the edge: D2D-enabled learning without labels S Wagle, S Hosseinalipour, N Khosravan, CG Brinton IEEE Transactions on Cognitive Communications and Networking, 2024 | 1 | 2024 |
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning S Lee, AB Das, S Wagle, CG Brinton arXiv preprint arXiv:2402.09629, 2024 | | 2024 |