fedavg

4 papers

• Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
• FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
• FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
• Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning