 Advocating for the Silent: Enhancing Federated Generalization for
Non-Participating ClientsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 |
 FedCut: A Spectral Analysis Framework for Reliable Detection of
Byzantine ColludersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 |
 Secure Distributed Optimization Under Gradient AttacksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 |
 Robust and Efficient Aggregation for Distributed LearningEuropean Signal Processing Conference (EUSIPCO), 2022 |
 Iterated Reasoning with Mutual Information in Cooperative and Byzantine
Decentralized TeamingInternational Conference on Learning Representations (ICLR), 2022 |
 Secure Distributed Training at ScaleInternational Conference on Machine Learning (ICML), 2021 |
 Learning from History for Byzantine Robust OptimizationInternational Conference on Machine Learning (ICML), 2020 |
