Resultados de procura - Jin, Richeng

Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent por Jin, Richeng, He, Xiaofan, Dai, Huaiyu

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On the Privacy Guarantees of Gossip Protocols in General Networks por Jin, Richeng, Huang, Yufan, Dai, Huaiyu

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Communication Efficient Federated Learning with Energy Awareness over Wireless Networks por Jin, Richeng, He, Xiaofan, Dai, Huaiyu

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Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles por Pervej, Md Ferdous, Jin, Richeng, Dai, Huaiyu

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Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity por Pervej, Md Ferdous, Jin, Richeng, Dai, Huaiyu

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Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization por Gu, Yujie, Jin, Richeng, Zhang, Zhaoyang, Dai, Huaiyu

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Communication-Efficient Federated Learning via Predictive Coding por Yue, Kai, Jin, Richeng, Wong, Chau-Wai, Dai, Huaiyu

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Federated Learning via Plurality Vote por Yue, Kai, Jin, Richeng, Wong, Chau-Wai, Dai, Huaiyu

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Advancing Hybrid Defense for Byzantine Attacks in Federated Learning por Yue, Kai, Jin, Richeng, Wong, Chau-Wai, Dai, Huaiyu

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GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack por Reza, Md Farhamdur, Jin, Richeng, Wu, Tianfu, Dai, Huaiyu

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Distribution-Aware Mobility-Assisted Decentralized Federated Learning por Reza, Md Farhamdur, Jahani, Reza, Jin, Richeng, Dai, Huaiyu

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Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates por Yue, Kai, Jin, Richeng, Wong, Chau-Wai, Dai, Huaiyu

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Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach por Jahani, Reza, Reza, Md Farhamdur, Jin, Richeng, Dai, Huaiyu

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Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction-Concealment Tradeoff in MLLMs por Reza, Md Farhamdur, Jin, Richeng, Wu, Tianfu, Dai, Huaiyu

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Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees por Jin, Richeng, Huang, Yufan, He, Xiaofan, Dai, Huaiyu, Wu, Tianfu

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Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands por Pervej, Md Ferdous, Jin, Richeng, Lin, Shih-Chun, Dai, Huaiyu

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Distributed Learning over Networks with Graph-Attention-Based Personalization por Tian, Zhuojun, Zhang, Zhaoyang, Yang, Zhaohui, Jin, Richeng, Dai, Huaiyu

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Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt por Gu, Yujie, Jin, Richeng, Ji, Xiaoyu, Jin, Yier, Xu, Wenyuan

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Gradient Obfuscation Gives a False Sense of Security in Federated Learning por Yue, Kai, Jin, Richeng, Wong, Chau-Wai, Baron, Dror, Dai, Huaiyu

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Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy por Jin, Richeng, Su, Zhonggen, Zhong, Caijun, Zhang, Zhaoyang, Quek, Tony, Dai, Huaiyu

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