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gradient aggregation

34 papers

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Co-occurring keywords

federated learning (1320) distributed learning (563) distributed training (187) parameter server (14) byzantine resilience (21) byzantine fault tolerance (27) robust aggregation (15) stochastic gradient descent (1088) differential privacy (1010) model aggregation (156)

Papers

Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters CVPR 2025
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning ACL 2024
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 2024
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024
Leveraging partial stragglers within gradient coding NIPS 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
Multi-Dimensional Fair Federated Learning AAAI 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation ICCV 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NIPS 2023
Industry-Scale Orchestrated Federated Learning for Drug Discovery AAAI 2023
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models NIPS 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022
Scaling-Up Robust Gradient Descent Techniques AAAI 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021
ATP: In-network Aggregation for Multi-tenant Learning NSDI 2021