Co-occurring keywords · papers mentioning both
Papers
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
AISTATS 2025
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
ICML 2025
Event-Driven Online Vertical Federated Learning
ICLR 2025
Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
ICLR 2025
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
UAI 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
ICML 2025
Gap-Dependent Bounds for Federated Q-Learning
ICML 2025
Hypernetwork Aggregation for Decentralized Personalized Federated Learning
IJCAI 2025
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
ICML 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
ICML 2025
Rethinking the Temperature for Federated Heterogeneous Distillation
ICML 2025
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
ICML 2025
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
ICML 2024
Communication-Efficient Federated Non-Linear Bandit Optimization
ICLR 2024
Exploiting Label Skews in Federated Learning with Model Concatenation
AAAI 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
ICML 2024
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
ICLR 2024
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees
ICML 2024
Incentivized Truthful Communication for Federated Bandits
ICLR 2024
Knowledge Distillation in Federated Learning: A Practical Guide
IJCAI 2024
Practical Hybrid Gradient Compression for Federated Learning Systems
IJCAI 2024
A^2CiD^2: Accelerating Asynchronous Communication in Decentralized Deep Learning
NeurIPS 2023
Almost Cost-Free Communication in Federated Best Arm Identification
AAAI 2023
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
ICML 2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
AISTATS 2023