conftrace_

federated learning

1320 papers

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Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

FedMerge: Federated Model Merging for Personalization AAAI 2026

FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026

Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning WACV 2026

Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026

FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026

CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026

RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning EACL 2026

Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026

Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching AAAI 2026

BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026

FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions AAAI 2026

FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026

FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation WACV 2026

SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026

Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026

Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026

AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026

Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026

FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting AAAI 2026

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026

LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026

FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026