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08/22/2023
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users
The hearing loss of almost half a billion people is commonly treated wit...
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06/27/2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
The recent advent of various forms of Federated Knowledge Distillation (...
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02/04/2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Federated Distillation (FD) is a popular novel algorithmic paradigm for ...
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12/01/2020
Communication-Efficient Federated Distillation
Communication constraints are one of the major challenges preventing the...
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04/22/2020
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Digital contact tracing approaches based on Bluetooth low energy (BLE) h...
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03/06/2020
Trends and Advancements in Deep Neural Network Communication
Due to their great performance and scalability properties neural network...
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10/04/2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Federated Learning (FL) is currently the most widely adopted framework f...
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03/07/2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Federated Learning allows multiple parties to jointly train a deep learn...
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05/22/2018
