Co-occurring keywords · papers mentioning both
Papers
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
AAAI 2025
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
JMLR 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
WACV 2025
Scalable Decentralized Learning with Teleportation
ICLR 2025
Scaling Probabilistic Circuits via Data Partitioning
UAI 2025
Selective Inference with Distributed Data
JMLR 2025
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
ICLR 2025
Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
RSS 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment
ICCV 2025
Towards Privacy-Preserving Split Learning for ControlNet
WACV 2025
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
AISTATS 2025
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
CVPR 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
AAAI 2025
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
JMLR 2024
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection
Interspeech 2024
Adapted Weighted Aggregation in Federated Learning
AAAI 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
NeurIPS 2024
A Kernel Perspective on Distillation-based Collaborative Learning
NeurIPS 2024
A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces
L4DC 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)
AAAI 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
AISTATS 2024
A Systematic Survey on Federated Semi-supervised Learning
IJCAI 2024
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
ICLR 2024
B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
NeurIPS 2024