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The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
Arxiv
0+阅读 · 10月1日
A Framework for Double-Blind Federated Adaptation of Foundation Models
Arxiv
0+阅读 · 10月1日
FedBit: Accelerating Privacy-Preserving Federated Learning via Bit-Interleaved Packing and Cross-Layer Co-Design
Arxiv
0+阅读 · 9月27日
Optimizing Privacy-Preserving Primitives to Support LLM-Scale Applications
Arxiv
0+阅读 · 9月29日
Energy Consumption of TLS, Searchable Encryption and Fully Homomorphic Encryption
Arxiv
0+阅读 · 9月28日
CryptoUNets: Applying Convolutional Networks to Encrypted Data for Biomedical Image Segmentation
Arxiv
0+阅读 · 4月30日
ALLMod: Exploring $\underline{\mathbf{A}}$rea-Efficiency of $\underline{\mathbf{L}}$UT-based $\underline{\mathbf{L}}$arge Number $\underline{\mathbf{Mod}}$ular Reduction via Hybrid Workloads
Arxiv
0+阅读 · 5月27日
A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
Arxiv
0+阅读 · 9月16日
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
Arxiv
0+阅读 · 5月27日
Privacy-Preserving 3-Layer Neural Network Training
Arxiv
0+阅读 · 4月15日
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Arxiv
0+阅读 · 6月12日
A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption
Arxiv
0+阅读 · 7月20日
A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption
Arxiv
0+阅读 · 8月7日
EFFACT: A Highly Efficient Full-Stack FHE Acceleration Platform
Arxiv
0+阅读 · 4月22日
Accurate BGV Parameters Selection: Accounting for Secret and Public Key Dependencies in Average-Case Analysis
Arxiv
0+阅读 · 6月23日
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