ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.08903
  4. Cited By
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure
  Collaborative Tensor Computing

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing

12 July 2024
Husheng Han
Xinyao Zheng
Yuanbo Wen
Yifan Hao
Erhu Feng
Ling Liang
Jianan Mu
Xiaqing Li
Tianyun Ma
Pengwei Jin
Xinkai Song
Zidong Du
Qi Guo
Xing Hu
ArXivPDFHTML

Papers citing "TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing"

3 / 3 papers shown
Title
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption
  (Extended Version)
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version)
Axel S. Feldmann
Nikola Samardzic
A. Krastev
S. Devadas
R. Dreslinski
Karim M. El Defrawy
Nicholas Genise
Chris Peikert
Daniel Sánchez
35
251
0
11 Sep 2021
Citadel: Protecting Data Privacy and Model Confidentiality for
  Collaborative Learning with SGX
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
Chengliang Zhang
Junzhe Xia
Baichen Yang
Huancheng Puyang
W. Wang
Ruichuan Chen
Istemi Ekin Akkus
Paarijaat Aditya
Feng Yan
FedML
53
39
0
04 May 2021
ZeRO-Offload: Democratizing Billion-Scale Model Training
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
177
414
0
18 Jan 2021
1