905 citations · 1.6k across the 39 of their papers we have counts for
3 papers · 1 filter
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li, Young D. Kwon, Lik-Hang Lee +1
Meta-Continual Learning (Meta-CL) enables models to learn new classes from limited labelled samples, making it promising for IoT applications where manual labelling is costly. Howe…
Federated Split GANs
Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou +5
Mobile devices and the immense amount and variety of data they generate are key enablers of machine learning (ML)-based applications. Traditional ML techniques have shifted toward…
HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask
Anish K. Vallapuram, Pengyuan Zhou, Young D. Kwon +3
Federated learning alleviates the privacy risk in distributed learning by transmitting only the local model updates to the central server. However, it faces challenges including st…