Three papers at AAAI’23!
We have three papers accepted to the 37th AAAI Conference on Artificial Intelligence:
- “FairFed: Enabling Group Fairness in Federated Learning,” by Y. Ezzeldin, S. Yan, C. He, E. Ferrara, and S. Avestimehr.
- “Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning,” by R. Ali, J. So, B. Guler, J. Jiao, and S. Avestimehr.
- "Layer-wise Adaptive Model Aggregation for Scalable Federated Learning,” by S. Lee, T. Zhang, and S. Avestimehr.
November 21, 2022
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We have three papers accepted to the 37th AAAI Conference on Artificial Intelligence:
- “FairFed: Enabling Group Fairness in Federated Learning,” by Y. Ezzeldin, S. Yan, C. He, E. Ferrara, and S. Avestimehr.
- “Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning,” by R. Ali, J. So, B. Guler, J. Jiao, and S. Avestimehr.
- "Layer-wise Adaptive Model Aggregation for Scalable Federated Learning,” by S. Lee, T. Zhang, and S. Avestimehr.
