Xiao-Di Wang

Dropout-Tolerant Privacy-Preserving Aggregation for Federated Mobile Crowdsensing

Federated Learning (FL) has emerged as a key enabler for privacy-preserving, decentralized sensing systems, giving rise to Federated Mobile Crowdsensing (F-MCS). A well-known bottleneck in such systems is the inefficiency of synchronous training, which stalls for all participants and is susceptible to stragglers in het...