I am pleased to announce that our paper, “AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation,” has been accepted at ECCV 2022.

Our algorithm significantly improves the stability and performance of large-scale and heterogeneous Federated Learning optimization in many benchmarks.

🏆️ Congratulations to Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, and Mohammad Havaei and many thanks for their contributions 🙌️.

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