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federated learning

1333 papers

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Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1016) knowledge distillation (3725) data heterogeneity (115) non-iid datum (109) privacy preservation (380) model compression (3302) distributed optimization (275)

Papers

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
Language-Guided Transformer for Federated Multi-Label Classification AAAI 2024
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024
Federated X-armed Bandit AAAI 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024
Provably Convergent Federated Trilevel Learning AAAI 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing AAAI 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NIPS 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning AAAI 2024
FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024
Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024