Summary of Momentum Approximation in Asynchronous Private Federated Learning, by Tao Yu et al.
Momentum Approximation in Asynchronous Private Federated Learningby Tao Yu, Congzheng Song, Jianyu Wang, Mona ChitnisFirst…
Summary of Fedsikd: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning, by Yousef Alsenani et al.
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learningby Yousef Alsenani,…
Summary of Exploring Federated Deep Learning For Standardising Naming Conventions in Radiotherapy Data, by Ali Haidar et al.
Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Databy Ali Haidar, Daniel Al…
Summary of Flash: Federated Learning Across Simultaneous Heterogeneities, by Xiangyu Chang et al.
FLASH: Federated Learning Across Simultaneous Heterogeneitiesby Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak…
Summary of Fedlps: Heterogeneous Federated Learning For Multiple Tasks with Local Parameter Sharing, by Yongzhe Jia et al.
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharingby Yongzhe Jia, Xuyun Zhang,…
Summary of Empowering Federated Learning For Massive Models with Nvidia Flare, by Holger R. Roth et al.
Empowering Federated Learning for Massive Models with NVIDIA FLAREby Holger R. Roth, Ziyue Xu, Yuan-Ting…
Summary of Training Heterogeneous Client Models Using Knowledge Distillation in Serverless Federated Learning, by Mohak Chadha et al.
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learningby Mohak Chadha, Pulkit Khera,…
Summary of Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing, by Wei Xu et al.
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passingby Wei Xu, An…
Summary of Openfedllm: Training Large Language Models on Decentralized Private Data Via Federated Learning, by Rui Ye et al.
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learningby Rui Ye, Wenhao…
Summary of Hypernetwork-driven Model Fusion For Federated Domain Generalization, by Marc Bartholet et al.
Hypernetwork-Driven Model Fusion for Federated Domain Generalizationby Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun,…