Xiaorong Shi

FFEDCL: Fair Federated Learning with Contrastive Learning

Federated Learning (FL) is a new paradigm of distributed machine learning, which can effectively solve the problem of data islands with privacy protection. Typical aggregation in FedAvg causes the global model bias to local models of clients with more local data. When clients’ data is Non-IID, the g…