MLSP-12: Federated Learning 1 |
| Session Type: Poster |
| Time: Wednesday, 9 June, 13:00 - 13:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Tao Zhang, Amazon
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MLSP-12.1: FEDERATED LEARNING FROM BIG DATA OVER NETWORKS |
| Yasmin SarcheshmehPour; Aalto University |
| Miika Leinonen; Aalto University |
| Alexander Jung; Aalto University |
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MLSP-12.2: EFFICIENT CLIENT CONTRIBUTION EVALUATION FOR HORIZONTAL FEDERATED LEARNING |
| Jie Zhao; Hainan University |
| Xinghua Zhu; Ping An Technology (Shenzhen) Co., Ltd. |
| Jianzong Wang; Ping An Technology (Shenzhen) Co., Ltd. |
| Jing Xiao; Ping An Technology (Shenzhen) Co., Ltd. |
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MLSP-12.3: A QUANTITATIVE METRIC FOR PRIVACY LEAKAGE IN FEDERATED LEARNING |
| Yong Liu; National University of Singapore |
| Xinghua Zhu; Ping An Technology (Shenzhen) Co., Ltd. |
| Jianzong Wang; Ping An Technology (Shenzhen) Co., Ltd. |
| Jing Xiao; Ping An Technology (Shenzhen) Co., Ltd. |
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MLSP-12.4: DP-SIGNSGD: WHEN EFFICIENCY MEETS PRIVACY AND ROBUSTNESS |
| Lingjuan Lyu; Ant Group |
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MLSP-12.5: FEDERATED ALGORITHM WITH BAYESIAN APPROACH: OMNI-FEDGE |
| Sai Anuroop Kesanapalli; Indian Institute of Technology, Dharwad |
| B. N. Bharath; Indian Institute of Technology, Dharwad |
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MLSP-12.6: TRAINING SPEECH RECOGNITION MODELS WITH FEDERATED LEARNING: A QUALITY/COST FRAMEWORK |
| Dhruv Guliani; Google Inc |
| Francoise Beaufays; Google Inc |
| Giovanni Motta; Google Inc |
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