Table 7 Ablation study on FedPRL: accuracy of different component combinations across varying degrees of data heterogeneity (%).

From: An efficient personalized federated learning approach in heterogeneous environments: a reinforcement learning perspective

Method

Degrees of data heterogeneity

0.1

0.3

0.5

0.7

1.0

FedAvg (Baseline)

53.9

71.9

76.6

79.4

78.4

FedAvg w/ Client selection

56.6

74.2

78.5

80.8

80.5

FedAvg w/ Local training

59.6

75.8

79.4

81.6

81.8

FedAvg w/ Personalization

82.9

82.5

81.8

83.8

81.6

FedAvg w/ Client selection + Local training

60.3

76.9

79.8

82.0

82.8

FedAvg w/ Client selection + Personalization

84.8

84.2

82.8

85.4

82.1

FedAvg w/ Local training + Personalization

88.0

86.1

85.1

84.3

82.6

FedAvg w/ Client selection + Local training + Personlization (Our FedPRL)

88.6

87.5

86.3

85.8

84.9

  1. Significant values in Bold.