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Federated Value Alignment (Direct Preference Optimization) on HH-RLHF (test)

0.6866LossFedACT
0.686340.6880950.689850.691605Jul 4, 2026

Evaluation results

MethodLinks
FedACTCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.686655.950.01470.2656
FedAvgCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.68855.590.01130.2308
FedProxCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.688155.540.01130.2309
SCAFFOLDCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.688855.610.00940.2122
FedAdamWCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.689154.90.0090.208
FedAdamCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.689555.040.0080.1977
FedLADACommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.690254.310.00640.182
BaseCommunication Rounds=200, Number of Clients=5, Participation Rate=40%, Batch Size=16, K (Local Iterations)=102026.070.6931—00.1182