Will Fully Homomorphic Encryption really become the underlying foundation for privacy computing in Web3? This is a question worth serious consideration.



As a unicorn company in the FHE field, Zama recently released an in-depth report systematically analyzing the application potential of fully homomorphic encryption in Web3. From a developmental perspective, privacy computing has become a pressing need for blockchain users—transaction transparency, asset exposure, and traceable interaction trajectories are core pain points faced by current public chains.

At the technical architecture level, FHE has unique advantages over other privacy solutions: it allows computations directly on encrypted data without the need for decryption steps. This means smart contracts, DEXs, and lending protocols can all operate in a fully private environment. The ecosystem is also gradually taking shape, with more projects exploring FHE-based privacy solutions.

However, challenges are also evident—issues such as computational efficiency, costs, and practical application implementation still need breakthroughs. But from the perspective of long-term development in Web3, innovations in privacy computing layers will inevitably become a trend.
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GateUser-addcaaf7vip
· 11h ago
FHE is really popular now, but to be honest, TPS is still a big pit. Let's talk about it when it really becomes useful on a large scale.
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SadMoneyMeowvip
· 11h ago
FHE sounds impressive, but how long does it actually take to use? I'm still a bit skeptical about whether the costs can be reduced...
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StablecoinSkepticvip
· 11h ago
Well... Zama's recent promotion can indeed fool quite a few people, but to be honest, performance is still a false proposition. We'll see when it actually goes live on the chain.
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PrivateKeyParanoiavip
· 11h ago
FHE sounds awesome, but it will probably take a few more years to really get it running... The computational cost barrier will likely cause a lot of projects to fail before it can succeed.
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PensionDestroyervip
· 11h ago
Really, FHE sounds really impressive, but in practice it's still a pitfall. With such low efficiency, who would dare to use it?
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