Summary of Banded Square Root Matrix Factorization For Differentially Private Model Training, by Nikita P. Kalinin et al.
Banded Square Root Matrix Factorization for Differentially Private Model Trainingby Nikita P. Kalinin, Christoph LampertFirst…
Summary of Emulating Full Client Participation: a Long-term Client Selection Strategy For Federated Learning, by Qingming Li et al.
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learningby Qingming Li, Juzheng…
Summary of Communication-efficient Federated Learning Via Clipped Uniform Quantization, by Zavareh Bozorgasl and Hao Chen
Communication-Efficient Federated Learning via Clipped Uniform Quantizationby Zavareh Bozorgasl, Hao ChenFirst submitted to arxiv on:…
Summary of Fedcache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillation, by Quyang Pan et al.
FedCache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillationby Quyang Pan, Sheng Sun,…
Summary of Fedasta: Federated Adaptive Spatial-temporal Attention For Traffic Flow Prediction, by Kaiyuan Li et al.
FedASTA: Federated adaptive spatial-temporal attention for traffic flow predictionby Kaiyuan Li, Yihan Zhang, Huandong Wang,…
Summary of Exploring and Exploiting the Asymmetric Valley Of Deep Neural Networks, by Xin-chun Li et al.
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networksby Xin-Chun Li, Jin-Lin Tang, Bo…
Summary of Maverick-aware Shapley Valuation For Client Selection in Federated Learning, by Mengwei Yang et al.
Maverick-Aware Shapley Valuation for Client Selection in Federated Learningby Mengwei Yang, Ismat Jarin, Baturalp Buyukates,…
Summary of Continual Deep Reinforcement Learning For Decentralized Satellite Routing, by Federico Lozano-cuadra et al.
Continual Deep Reinforcement Learning for Decentralized Satellite Routingby Federico Lozano-Cuadra, Beatriz Soret, Israel Leyva-Mayorga, Petar…
Summary of Fedcada: Adaptive Client-side Optimization For Accelerated and Stable Federated Learning, by Liuzhi Zhou et al.
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learningby Liuzhi Zhou, Yu He, Kun…
Summary of Federated Learning For Time-series Healthcare Sensing with Incomplete Modalities, by Adiba Orzikulova et al.
Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalitiesby Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin,…