Towards Scalable Resilient Federated Learning: A Fully Decentralised Approach - Archive ouverte HAL Access content directly
Conference Papers Year : 2023

Towards Scalable Resilient Federated Learning: A Fully Decentralised Approach

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Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Distributed, Parallel, and Cluster Computing [cs.DC] Computer Science [cs] Neural and Evolutionary Computing [cs.NE] Computer Science [cs] Performance [cs.PF]

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https://hal.inria.fr/hal-03946638

Submitted on : Thursday, January 19, 2023-11:49:04 AM

Last modification on : Wednesday, March 15, 2023-8:55:02 AM

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hal-03946638 , version 1 (19-01-2023)

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  • HAL Id : hal-03946638 , version 1

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Divi De Lacour, Marc Lacoste, Mario Südholt, Jacques Traoré. Towards Scalable Resilient Federated Learning: A Fully Decentralised Approach. PeRConAI 2023 - 2nd IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence, IEEE International Conference on Pervasive Computing and Communications (PerCom), Mar 2023, Atlanta (GA), United States. ⟨hal-03946638⟩

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