Blockchain meets metaverse and digital asset management: A comprehensive survey

VT Truong, L Le, D Niyato - Ieee Access, 2023 - ieeexplore.ieee.org
Envisioned to be the next-generation Internet, the metaverse has been attracting enormous
attention from both the academia and industry. The metaverse can be viewed as a 3D …

Sok: Decentralized exchanges (dex) with automated market maker (amm) protocols

J Xu, K Paruch, S Cousaert, Y Feng - ACM Computing Surveys, 2023 - dl.acm.org
As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges
(DEXs) with automated market maker (AMM) protocols have gained massive traction with …

Hyperplonk: Plonk with linear-time prover and high-degree custom gates

B Chen, B Bünz, D Boneh, Z Zhang - … on the Theory and Applications of …, 2023 - Springer
Plonk is a widely used succinct non-interactive proof system that uses univariate polynomial
commitments. Plonk is quite flexible: it supports circuits with low-degree “custom” gates as …

zkbridge: Trustless cross-chain bridges made practical

T **e, J Zhang, Z Cheng, F Zhang, Y Zhang… - Proceedings of the …, 2022 - dl.acm.org
Blockchains have seen growing traction with cryptocurrencies reaching a market cap of over
1 trillion dollars, major institution investors taking interests, and global impacts on …

A survey on zero-knowledge proof in blockchain

X Sun, FR Yu, P Zhang, Z Sun, W **e, X Peng - IEEE network, 2021 - ieeexplore.ieee.org
Blockchain, which is usually regarded as a public, decentralized and distributed ledger, has
attracted significant attention recently. In the environment of blockchain, all historical …

Advances and open problems in federated learning

P Kairouz, HB McMahan, B Avent… - … and trends® in …, 2021 - nowpublishers.com
Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …

Can you really backdoor federated learning?

Z Sun, P Kairouz, AT Suresh, HB McMahan - arxiv preprint arxiv …, 2019 - arxiv.org
The decentralized nature of federated learning makes detecting and defending against
adversarial attacks a challenging task. This paper focuses on backdoor attacks in the …

Unlocking the lookup singularity with lasso

S Setty, J Thaler, R Wahby - … International Conference on the Theory and …, 2024 - Springer
This paper introduces Lasso, a new family of lookup arguments, which allow an untrusted
prover to commit to a vector a∈ F m and prove that all entries of a reside in some …

Blockchain-empowered space-air-ground integrated networks: Opportunities, challenges, and solutions

Y Wang, Z Su, J Ni, N Zhang… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The terrestrial networks face the challenges of severe cost inefficiency and low feasibility to
provide seamless services anytime and anywhere, especially in the extreme or hotspot …

Elsa: Secure aggregation for federated learning with malicious actors

M Rathee, C Shen, S Wagh… - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is an increasingly popular approach for machine learning (ML) in
cases where the training dataset is highly distributed. Clients perform local training on their …