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Akhil Mathur

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Balancing Continual Learning and Fine-tuning for Human Activity Recognition

Jan 04, 2024
Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo

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Latent Masking for Multimodal Self-supervised Learning in Health Timeseries

Jul 31, 2023
Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora Salim, Akhil Mathur

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Practical self-supervised continual learning with continual fine-tuning

Mar 30, 2023
Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

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Centaur: Federated Learning for Constrained Edge Devices

Nov 12, 2022
Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur

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Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering

May 23, 2022
Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur

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FLAME: Federated Learning Across Multi-device Environments

Feb 17, 2022
Hyunsung Cho, Akhil Mathur, Fahim Kawsar

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ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

Feb 01, 2022
Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur

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Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows

Jan 26, 2022
Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding

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