Results 131 to 140 of about 5,328 (177)

Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy. [PDF]

Proceedings VLDB Endowment
Kato F, Xiong L, Takagi S, Cao Y, Yoshikawa M.   +4 more
europepmc   +1 more source

Bayesian-driven autonomous defense adaptive consensus optimisation for blockchain networks. [PDF]

Sci Rep
Bhore SS, Natraj NA, Hallur GG.
europepmc   +1 more source

Multiagent game-theoretic robust optimization for power system planning under source-load uncertainty. [PDF]

Sci Rep
Mi J, Xu M, An J, Wang Y, Liu F, Yang H, Tan Z.   +6 more
europepmc   +1 more source

Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review.

J Med Internet Res
Wang X, Xie Y, Chen X, Yang J, Li R, Gao W, Yan Z, Zhou H, Ye Z.   +8 more
europepmc   +1 more source

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Collusion by code or algorithmic collusion? When pricing algorithms take over

European Competition Journal, 2020
As algorithmic pricing becomes more widespread, the discussion about the extent to which the use of algorithms results in an increase of collusion also intensifies.
Lea Bernhardt, Ralf Dewenter
openaire   +1 more source

Algorithmic Collusion in Assortment Games

SSRN Electronic Journal, 2021
This paper contributes to the ongoing debate on the plausibility of tacit collusion between sellers in algorithmic marketplaces, which can be detrimental to customers and social welfare. We study a broad class of assortment decisions routinely made by sellers on online platforms, including which products are offered to customers, at what price, and how
Ali Aouad, Arnoud V. den Boer
openaire   +1 more source

Algorithmic tacit collusion

SSRN Electronic Journal, 2023
Ariel Ezrachi, Maurice E. Stucke
openaire   +2 more sources

Algorithmic collusion: an interdisciplinary perspective

Published: 20 May 2025 Software programmes based on algorithms have become common in pricing because they outperform humans at automatising tasks in terms of speed, complexity, and accuracy of analysis. In many online markets, repricing algorithms have replaced the human decision maker.
Philip Hanspach, Niccolò Galli
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Pricing Algorithms as Collusive Devices

SSRN Electronic Journal, 2020
This paper undertakes a critical review of the prospect that self-learning pricing algorithms will lead to widespread collusion independently of the intervention and participation of humans. There is no concrete evidence, no example yet, and no antitrust case that self-learning pricing algorithms have colluded let alone increased the prospect of ...
openaire   +1 more source