48 citations · 82 across the 5 of their papers we have counts for
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cs.LG2024
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Qi Tan, Qi Li, Yi Zhao +3
Federated Learning (FL) trains a black-box and high-dimensional model among different clients by exchanging parameters instead of direct data sharing, which mitigates the privacy l…
cs.LG2023★ 31 cited
Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey
Zhibo Xing, Zijian Zhang, Ziang Zhang +8
Over recent decades, machine learning has significantly advanced network communication, enabling improved decision-making, user behavior analysis, and fault detection. Decentralize…
cs.LG2021★ 3 cited
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
Guangmeng Zhou, Ke Xu, Qi Li +2
In multi-party collaborative learning, the parameter server sends a global model to each data holder for local training and then aggregates committed models globally to achieve pri…