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1 Ergebnisse
1
FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The In..:
, In:
2023 57th Asilomar Conference on Signals, Systems, and Computers
,
M, Shruti
;
Khanduri, Prashant
;
Bharath, B. N.
- p. 607-613 , 2023
Link:
https://doi.org/10.1109/IEEECONF59524.2023.10476970
RT T1
2023 57th Asilomar Conference on Signals, Systems, and Computers
: T1
FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime
UL https://suche.suub.uni-bremen.de/peid=ieee-10476970&Exemplar=1&LAN=DE A1 M, Shruti A1 Khanduri, Prashant A1 Bharath, B. N. YR 2023 SN 2576-2303 K1 Training K1 Computers K1 Interpolation K1 Federated learning K1 Distance learning K1 Neural networks K1 Performance analysis K1 Federated Learning (FL) K1 Interpolation regime K1 Overparameterized models K1 Polyak-Lojasiewicz (PL) inequality SP 607 OP 613 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF59524.2023.10476970 DO https://doi.org/10.1109/IEEECONF59524.2023.10476970 SF ELIB - SuUB Bremen
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