federated learning

Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization ICCV 2023 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking NeurIPS 2023 XTab: Cross-table Pretraining for Tabular Transformers ICML 2023 Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization NeurIPS 2023 zPROBE: Zero Peek Robustness Checks for Federated Learning ICCV 2023 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Acceleration of Federated Learning with Alleviated Forgetting in Local Training ICLR 2022 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NeurIPS 2022 ActPerFL: Active Personalized Federated Learning ACL 2022 Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022 A Federated Approach to Predicting Emojis in Hindi Tweets EMNLP 2022 A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022 An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects NeurIPS 2022 An Agnostic Approach to Federated Learning with Class Imbalance ICLR 2022 Anarchic Federated Learning ICML 2022 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks ICML 2022 APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022 Architecture Agnostic Federated Learning for Neural Networks ICML 2022 A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits NeurIPS 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022 Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022 Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022