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Federated Learning

497 directly classified papers

Papers per year

Papers

Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024
Federated Learning over Connected Modes NIPS 2024
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NIPS 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NIPS 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NIPS 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024
Multi-Dimensional Fair Federated Learning AAAI 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
Leveraging partial stragglers within gradient coding NIPS 2024
CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NIPS 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024