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Publication search results
found 56 matches
- 2023
- Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang:
A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. INFOCOM 2023: 1-10 - Ningning Ding, Lin Gao, Jianwei Huang:
Joint Participation Incentive and Network Pricing Design for Federated Learning. INFOCOM 2023: 1-10 - Yixuan Guan, Xuefeng Liu, Tao Ren, Jianwei Niu:
Enabling Communication-Efficient Federated Learning via Distributed Compressed Sensing. INFOCOM 2023: 1-10 - Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon:
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. INFOCOM 2023: 1-10 - Parikshit Hegde, Gustavo de Veciana, Aryan Mokhtari:
Network Adaptive Federated Learning: Congestion and Lossy Compression. INFOCOM 2023: 1-10 - Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian:
Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression. INFOCOM 2023: 1-10 - Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan:
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices. INFOCOM 2023: 1-10 - Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. INFOCOM 2023: 1-10 - Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian:
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. INFOCOM 2023: 1-10 - Heting Liu, Fang He, Guohong Cao:
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization. INFOCOM 2023: 1-10 - Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen Hoang Tran:
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks. INFOCOM 2023: 1-10 - Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi:
Federated Learning under Heterogeneous and Correlated Client Availability. INFOCOM 2023: 1-10 - Ningxin Su, Baochun Li:
Asynchronous Federated Unlearning. INFOCOM 2023: 1-10 - Ming Tang, Vincent W. S. Wong:
Tackling System Induced Bias in Federated Learning: Stratification and Convergence Analysis. INFOCOM 2023: 1-10 - Xiong Wang, Yuxin Chen, Yuqing Li, Xiaofei Liao, Hai Jin, Bo Li:
FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection. INFOCOM 2023: 1-10 - Fei Wang, Ethan Hugh, Baochun Li:
More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning. INFOCOM 2023: 1-10 - Fei Wang, Lei Jiao, Konglin Zhu, Xiaojun Lin, Lei Li:
Toward Sustainable AI: Federated Learning Demand Response in Cloud-Edge Systems via Auctions. INFOCOM 2023: 1-10 - Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang:
SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition. INFOCOM 2023: 1-10 - Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan:
Federated Learning with Flexible Control. INFOCOM 2023: 1-10 - Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou:
AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. INFOCOM 2023: 1-10 - Junhao Wang, Lan Zhang, Yihang Cheng, Shaoang Li, Hong Zhang, Dongbo Huang, Xu Lan:
TVFL: Tunable Vertical Federated Learning towards Communication-Efficient Model Serving. INFOCOM 2023: 1-10 - Tao Wu, Yuben Qu, Chunsheng Liu, Yuqian Jing, Feiyu Wu, Haipeng Dai, Chao Dong, Jiannong Cao:
Joint Edge Aggregation and Association for Cost-Efficient Multi-Cell Federated Learning. INFOCOM 2023: 1-10 - Jinliang Yuan, Shangguang Wang, Shihe Wang, Yuanchun Li, Xiao Ma, Ao Zhou, Mengwei Xu:
Privacy as a Resource in Differentially Private Federated Learning. INFOCOM 2023: 1-10 - Chen Zhang, Boyang Zhou, Zhiqiang He, Zeyuan Liu, Yanjiao Chen, Wenyuan Xu, Baochun Li:
Oblivion: Poisoning Federated Learning by Inducing Catastrophic Forgetting. INFOCOM 2023: 1-10 - Yuxi Zhao, Xiaowen Gong, Shiwen Mao:
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling. INFOCOM 2023: 1-10 - Ruiting Zhou, Jieling Yu, Ruobei Wang, Bo Li, Jiacheng Jiang, Libing Wu:
A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning. INFOCOM 2023: 1-10 - 2022
- Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. INFOCOM 2022: 1729-1738 - Sijia Chen, Baochun Li:
Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending. INFOCOM 2022: 1469-1478 - Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Jiangchuan Liu:
Optimal Rate Adaption in Federated Learning with Compressed Communications. INFOCOM 2022: 1459-1468 - Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li:
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining. INFOCOM 2022: 1749-1758
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