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Showing 26–50 of 2975 papers

TitleStatusHype
Federated Learning with New Knowledge: Fundamentals, Advances, and FuturesCode2
NVIDIA FLARE: Federated Learning from Simulation to Real-WorldCode2
CLEAR: A Fully User-side Image Search SystemCode2
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language ModelsCode2
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationCode2
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare ApplicationsCode2
FedCLIP: Fast Generalization and Personalization for CLIP in Federated LearningCode2
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and VotingCode2
Does Image Anonymization Impact Computer Vision Training?Code2
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative EditingCode2
Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance AnalysisCode2
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic PredictionCode2
DensePose From WiFiCode2
Differentially Private Synthetic Data via Foundation Model APIs 2: TextCode2
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic ForecastingCode2
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank AdaptationsCode2
A Survey on Federated Fine-tuning of Large Language ModelsCode2
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningCode2
Improved Scene Landmark Detection for Camera LocalizationCode2
Investigating Affective Use and Emotional Well-being on ChatGPTCode2
Offsite-Tuning: Transfer Learning without Full ModelCode2
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
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