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cs.LG2026
Probabilistic Sensing: Intelligence in Data Sampling
Ibrahim Albulushi, Saleh Bunaiyan, Suraj S. Cheema +2
Extending the intelligence of sensors to the data-acquisition process - deciding whether to sample or not - can result in transformative energy-efficiency gains. However, making su…
cs.LG2024
Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clients
Mohamed Ads, Hesham ElSawy, Hossam S. Hassanein
Wireless Federated Learning (FL) is an emerging distributed machine learning paradigm, particularly gaining momentum in domains with confidential and private data on mobile clients…