Federated learning: Opportunities and challenges PM Mammen arXiv preprint arXiv:2101.05428, 2021 | 155 | 2021 |
Want to reduce energy consumption, whom should we call? PM Mammen, H Kumar, K Ramamritham, H Rashid Proceedings of the Ninth International Conference on Future Energy Systems …, 2018 | 24 | 2018 |
Federated learning: Opportunities and challenges. arXiv 2021 PM Mammen arXiv preprint arXiv:2101.05428, 0 | 20 | |
Federated learning: Opportunities and challenges. arXiv PM Mammen arXiv preprint arXiv:2101.05428, 2021 | 14 | 2021 |
Want to reduce energy consumption? don't depend on the consumers! H Rashid, PM Mammen, S Singh, K Ramamritham, P Singh, P Shenoy Proceedings of the 4th ACM International Conference on Systems for Energy …, 2017 | 14 | 2017 |
Explainable AI: Deep reinforcement learning agents for residential demand side cost savings in smart grids H Kumar, PM Mammen, K Ramamritham arXiv preprint arXiv:1910.08719, 2019 | 10 | 2019 |
Sleepmore: Inferring sleep duration at scale via multi-device wifi sensing C Zakaria, G Yilmaz, PM Mammen, M Chee, P Shenoy, R Balan Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 5 | 2023 |
WiSleep: Scalable sleep monitoring and analytics using passive WiFi sensing PM Mammen, C Zakaria, T Molom-Ochir, A Trivedi, P Shenoy, R Balan arXiv preprint arXiv 2102, 2021 | 5 | 2021 |
Federated learning: Opportunities and challenges, 2021 PM Mammen URL https://arxiv 329, 0 | 5 | |
Want to Reduce Energy Consumption, Which Floor Should I Prefer? PM Mammen, S Mehrotra, H Kumar, K Ramamritham Proceedings of the eleventh ACM international conference on future energy …, 2020 | 4 | 2020 |
Cuff: A configurable uncertainty-driven forecasting framework for green ai clusters PM Mammen, N Bashir, RR Kolluri, EK Lee, P Shenoy Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | 3 | 2023 |
Wisleep: inferring sleep duration at scale using passive wifi sensing PM Mammen, C Zakaria, T Molom-Ochir, A Trivedi, P Shenoy, R Balan arXiv preprint arXiv:2102.03690, 2021 | 3 | 2021 |
Explainable AI reinforcement learning agents for residential cost savings H Kumar, P Mammen, K Ramamritham arXiv preprint arXiv:1910.08719, 2019 | 1 | 2019 |
Introducing v0. 5 of the AI Safety Benchmark from MLCommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | | 2024 |
SleepLess: personalized sleep monitoring using smartphones and semi-supervised learning PM Mammen, C Zakaria, P Shenoy CSI Transactions on ICT 11 (4), 203-219, 2023 | | 2023 |
Detecting Natural Language Biases with Prompt-based Learning MA Aowal, MT Islam, PM Mammen, S Shetty arXiv preprint arXiv:2309.05227, 2023 | | 2023 |
Are you asleep when your phone is asleep? Semi-supervised methods to infer sleep from smart devices PM Mammen, P Shenoy NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | | 2022 |
Scalable mHealth technologies for public health monitoring: PhD forum abstract PM Mammen Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 819-820, 2020 | | 2020 |
Data driven monitoring of thermal profile: towards sustainable urban habitats S Mehrotra, PM Mammen, K Ramamritham, R Bardhan Proceedings of the Tenth International Conference on Information and …, 2019 | | 2019 |
Elliptic Curve arithmetic over extension field to intensify security and privacy S Pote, BK Lande, PM Mammen 2016 International Conference on Wireless Communications, Signal Processing …, 2016 | | 2016 |