6 citations · 16 across the 12 of their papers we have counts for
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cs.DC2025★ 1 cited
Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
Tianxing Fu, Jia Hu, Geyong Min +1
Federated learning (FL) enables multiple participants to collaboratively train machine learning models while ensuring their data remains private and secure. Blockchain technology f…
cs.DC2025
Cicada: A Pipeline-Efficient Approach to Serverless Inference with Decoupled Management
Z. Wu, Y. Deng, J. Hu +4
Serverless computing has emerged as a pivotal paradigm for deploying Deep Learning (DL) models, offering automatic scaling and cost efficiency. However, the inherent cold start pro…
cs.DC2025★ 5 cited
Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
Fei Wu, Jia Hu, Geyong Min +1
Pre-trained Language Models (PLMs) have demonstrated their superiority and versatility in modern Natural Language Processing (NLP), effectively adapting to various downstream tasks…