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Federated cINN Clustering for Accurate Clustered Federated Learning
However, a significant challenge arises when coordinating FL with crowd intelligence which diverse client groups possess disparate objectives due to data heterogeneity or distinct tasks.
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg
Federated learning (FL) is identified as a crucial enabler for large-scale distributed machine learning (ML) without the need for local raw dataset sharing, substantially reducing privacy concerns and alleviating the isolated data problem.
Designs in finite metric spaces: a probabilistic approach
A finite metric space is called here distance degree regular if its distance degree sequence is the same for every vertex.
Combinatorics Information Theory Information Theory Primary 05E35, Secondary O5E20, 05E24
On the number of frequency hypercubes $F^n(4;2,2)$
A frequency $n$-cube $F^n(4;2, 2)$ is an $n$-dimensional $4$-by-...-by-$4$ array filled by $0$s and $1$s such that each line contains exactly two $1$s.
Combinatorics Discrete Mathematics 05B15
