📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
FHE Technology: The Future and Challenges of Encryption Data Computation
FHE: The Future Path of Privacy Computing
Fully Homomorphic Encryption ( FHE ) is an advanced encryption technology that allows computations to be performed directly on encrypted data. This means that sensitive information can be processed while preserving privacy. FHE has potential applications in various fields such as finance, healthcare, and cloud computing, but currently faces the challenge of significant computational overhead.
Basic Principles of FHE
The core idea of FHE is to use polynomials to hide the original data. For example, the encrypted number 2 might:
During decryption, as long as you know the key s(x), you can recover the original data 2 from c(x).
The main challenge facing FHE is noise growth. Each computation increases the noise, which may eventually lead to incorrect decryption. To address this, researchers have proposed several techniques:
Currently, mainstream FHE schemes all adopt bootstrapping technology, but the computational overhead is still very high.
Issues Facing FHE
The overhead of FHE computation is several orders of magnitude higher than that of ordinary computation. According to estimates from the U.S. Department of Defense Advanced Research Projects Agency ( DARPA ), FHE computation is about 1 million times slower than ordinary computation.
To accelerate FHE, DARPA has launched the DPRIVE program, focusing on the following aspects:
However, the plan is progressing slowly, and there is still a gap from the expected target.
The Application of FHE in Blockchain
In the field of blockchain, FHE is mainly used to protect data privacy, including:
However, FHE also faces challenges in efficiency and computational resource requirements.
Main Projects
The main projects in the field of FHE currently include:
Future Outlook
FHE technology is still in its early stages and faces many challenges:
However, with the development of dedicated chips and the influx of more funds, FHE is expected to bring about transformation in fields such as defense, finance, and healthcare, unleashing the potential of private data. The future development of FHE is worth looking forward to.