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1 Ergebnisse
1
Theoretical Convergence Guaranteed Resource-Adaptive Federa..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wang, Yangyang
;
Zhang, Xiao
;
Li, Mingyi
... - p. 2444-2455 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599521
RT T1
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity
UL https://suche.suub.uni-bremen.de/peid=acm-3599521&Exemplar=1&LAN=DE A1 Wang, Yangyang A1 Zhang, Xiao A1 Li, Mingyi A1 Lan, Tian A1 Chen, Huashan A1 Xiong, Hui A1 Cheng, Xiuzhen A1 Yu, Dongxiao PB ACM YR 2023 K1 federated learning K1 heterogeneity K1 limited resources K1 Computer systems organization K1 Architectures K1 Distributed architectures K1 Computing methodologies K1 Machine learning SP 2444 OP 2455 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599521 DO https://dl.acm.org/doi/10.1145/3580305.3599521 SF ELIB - SuUB Bremen
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