Results 21 to 30 of about 8,167 (260)
AntNest: Fully Non-Interactive Secure Multi-Party Computation
IEEE Access, 2018 In this paper, we focus on the research of non-interactive secure multi-party computation. At first, we propose a fully homomorphic non-interactive verifiable secret sharing (FHNVSS) scheme.
Lijing Zhou +3 more
doaj +1 more source
CE-Fed: Communication efficient multi-party computation enabled federated learning
Array, 2022 Federated learning (FL) allows a number of parties collectively train models without revealing private datasets. There is a possibility of extracting personal or confidential data from the shared models even-though sharing of raw data is prevented by ...
Renuga Kanagavelu +7 more
doaj +1 more source
Asynchronous Multi-Party Quantum Computation.
IACR Cryptol. ePrint Arch., 2022 Multi-party quantum computation (MPQC) allows a set of parties to securely compute a quantum circuit over private quantum data. Current MPQC protocols rely on the fact that the network is synchronous, i.e., messages sent are guaranteed to be delivered within a known fixed delay upper bound, and unfortunately completely break down even when only a ...
Vipul Goyal +3 more
openaire +4 more sources
Robust peer-to-peer learning via secure multi-party computation
Journal of Information and Intelligence, 2023 To solve the data island problem, federated learning (FL) provides a solution paradigm where each client sends the model parameters but not the data to a server for model aggregation.
Yongkang Luo +4 more
doaj +1 more source
Concretely efficient secure multi-party computation protocols: survey and more
Security and Safety, 2022 Secure multi-party computation (MPC) allows a set of parties to jointly compute a function on their private inputs, and reveals nothing but the output of the function. In the last decade, MPC has rapidly moved from a purely theoretical study to an object
Feng Dengguo, Yang Kang
doaj +1 more source
Efficient Secure Multi-party Computation [PDF]
, 2000 Since the introduction of secure multi-party computation, all proposed protocols that provide security against cheating players suffer from very high communication complexities. The most efficient unconditionally secure protocols among n players, tolerating cheating by up to t < n/3 of them, require communicating O(n6) field elements for each ...
Martin Hirt +2 more
openaire +1 more source
Fully privacy-preserving distributed optimization in power systems based on secret sharing
iEnergy, 2022 With the increasing development of smart grid, multi-party cooperative computation between several entities has become a typical characteristic of modern energy systems.
Nianfeng Tian +3 more
doaj +1 more source
A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption
IEEE Access, 2019 Nowadays, the management and analyses of `big data' are becoming indispensable for numerous organizations all over the world. In many cases, multiple organizations want to perform data analyses on their combined databases.
Mahboob Qaosar +6 more
doaj +1 more source
Cloud-Assisted Private Set Intersection via Multi-Key Fully Homomorphic Encryption
Mathematics, 2023 With the development of cloud computing and big data, secure multi-party computation, which can collaborate with multiple parties to deal with a large number of transactions, plays an important role in protecting privacy.
Cunqun Fan +6 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source