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Priyanka Mary Mammen
Priyanka Mary Mammen
Laboratory for Advanced Software Systems, UMass Amherst
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
Federated learning: Opportunities and challenges
PM Mammen
arXiv preprint arXiv:2101.05428, 2021
1542021
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
242018
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
142021
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
142017
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
102019
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
52023
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
52021
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
42020
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
32021
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
22023
Explainable AI reinforcement learning agents for residential cost savings
H Kumar, P Mammen, K Ramamritham
arXiv preprint arXiv:1910.08719, 2019
12019
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
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