gradient aggregation

Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 ATP: In-network Aggregation for Multi-tenant Learning NSDI 2021 Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021 Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021 Scaling-Up Robust Gradient Descent Techniques AAAI 2021 A Federated Approach in Training Acoustic Models Interspeech 2020 A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters OSDI 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019 FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks IJCAI 2019 Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019 DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NeurIPS 2018 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NeurIPS 2017